Your new experience awaits. Try the new design now and help us make it even better

PERSPECTIVE article

Front. Med., 10 July 2025

Sec. Family Medicine and Primary Care

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1610259

This article is part of the Research TopicDigital Health Innovations for Patient-Centered CareView all 27 articles

Biophilic design, neuroarchitecture and therapeutic home environments: harnessing medicinal properties of intentionally-designed spaces to enhance digital health outcomes


Grzegorz Bulaj,
Grzegorz Bulaj1,2*Maria Forero,,,Maria Forero3,4,5,6Dorothy Day HuntsmanDorothy Day Huntsman7
  • 1Department of Medicinal Chemistry, College of Pharmacy, University of Utah, Salt Lake City, UT, United States
  • 2OMNI Self-Care, LLC, Salt Lake City, UT, United States
  • 3Seed Healthcare, Miami, FL, United States
  • 4Click Therapeutics, New York, NY, United States
  • 5Accelmed, Miami, FL, United States
  • 6MF7 Ventures, Miami, FL, United States
  • 7Dayhouse Studio, Salt Lake City, UT, United States

Digital health technologies (DHT) support patient-centered care by delivering behavioral, educational, self-efficacy and self-management interventions. Yet, multifactorial chronic diseases are shaped by complex interactions between genetics, environment and behavior, embodied in social and commercial determinants of health. Given that people in the United States spend on average 18 h per day at home, the impact of home environment on a person's health is underutilized in medicine. Herein, we discuss opportunities to improve therapy outcomes through bridging digital interventions with intentionally-designed restorative and multisensory environments that simultaneously foster physiological and emotional homeostasis. Harnessing positive effects of biophilic design, neuroarchitecture and therapeutic home environments can enhance the effectiveness of digital interventions, including digital therapeutics (DTx), wearables and drug + digital combination therapies that utilize “prescription drug use-related software” (PDURS) framework. Real-world barriers to advance these solutions include a lack of public awareness about connections between the built environment, health and wellbeing, the knowledge gap in long-term clinical outcomes of biophilic interventions, and a limited funding for advancing “biophilic design as an adjunctive therapy” applications. In conclusion, creating digital health ecosystems that favor symbiosis between digital health interventions and enriched environments can promote sustained behavior change, elevate precision care and improve value-based healthcare outcomes.

1 Introduction

DHT belong to a broad category of mobile devices and software that deliver clinical benefits through mobile and virtual reality (VR) apps, video games, digital health platforms, wearables and medical devices. A rapid growth of DHT includes an emergence of digital therapeutics (DTx), or Software as a Medical Device products, intended to diagnose and treat medical conditions (1, 2). An example of DHT supporting patient care are digital health platforms that provide medication management, monitoring symptoms and other disease management services (3). Digital interventions and pharmacotherapies can be integrated using “prescription drug use-related software” (PDURS) framework or as adjunctive DTx in combination with drugs intended to treat specific conditions (4). Adoption of DHT in medicine is limited by reimbursement rates, regulatory policies, and concerns from diverse healthcare stakeholders (58). Challenges for DHT include patient engagement and attrition that can impact long-term therapy outcomes (911). Many mobile apps for chronic diseases that are available in Google Play Store and Apple App Store lack the acceptable standards for the quality and content, undermining their effectiveness (12).

A majority of chronic conditions are multifactorial diseases where both the gene-environment interactions and a patient's behavior play important roles in their etiology and treatment outcomes (13). Environmental exposure has a significantly greater influence on non-communicable chronic diseases than genetic predisposition (14). For example, the presence of natural environments, e.g., neighborhood green spaces, can positively impact mental and physical health through physical and social activities (1517). The intersection of housing and health is recognized as a means for public health interventions (18, 19), as well as to improve patient outcomes (2022).

The concept of intentionally-designed environments that promote health is embodied in biophilic design, salutogenic architecture and neuroarchitecture. Biophilic design is an approach to improve health and wellbeing by incorporating natural elements into the built environment (23). Salutogenic architecture aims to create health-promoting spaces by supporting a person's “sense of coherence” (24), while neuroarchitecture is focused on how architectural features influence the human brain, cognitive functions, emotions and behavior (25). Grounded in biophilic design and the self-care model, we recently described the therapeutic home environments intended to provide clinical benefits for people with chronic conditions (20, 26). In this work, we discuss a confluence of design and digital health, as we highlight an opportunity to bridge behavior change interventions with living spaces that support homeostasis and lifestyle medicine. The thesis of this perspective article is that the effectiveness of DHT can be improved when a patient lives in an intentionally-designed home environment that fosters health and wellbeing.

2 Digital health offers multimodal therapies plus at-home convenience

DHT aim to improve health outcomes by delivering diverse therapeutic modalities, including behavioral and cognitive therapies (e.g., cognitive behavioral therapy, CBT, or acceptance and commitment therapy), mindfulness, health education, physical therapy, disease self-management, remote patient monitoring, coaching, relaxation techniques and biofeedback, among many others (27). These interventions are provided with at home convenience, as exemplified by digital health platforms for chronic disease management, such as Welldoc and Dawn Health, or a prescription digital therapeutic, RelieVRx, an FDA-authorized VR technology for patients with a moderate to severe chronic low back pain (28, 29). Clinical benefits of digital interventions span a wide range of chronic conditions, e.g., cancer (30), neurological (31), neurodegenerative (32), mental (33), metabolic (34), cardiovascular, and autoimmune disorders (35). The breadth, depth, flexibility, accessibility and scalability of multimodal DHT to treat chronic diseases make digital interventions an attractive value proposition for healthcare stakeholders.

DHT are also gaining popularity through fitness trackers and other consumer health wearables that enable monitoring vital signs and disease symptoms (36, 37). Wearables such as Apple Watch, Oura Ring, FitBit, Garmin Health, Samsung Galaxy watch are merging with medical device functionalities, based on receiving the FDA authorization or clearance for specific applications. These aforementioned wearables and their associated apps promote lifestyle medicine (e.g., physical activities, sleep hygiene, stress management), while ongoing research points toward their applications in the prevention of chronic conditions, such as irritable bowel syndrome or mild cognitive impairment (38, 39). An apparent advantage of wearables coupled with mobile apps is their ability to bridge daily activities with biofeedback and health outcomes (40).

Innovation of medical treatments includes integration of DHT with pharmacotherapies, leading toward drug + digital combination therapies (4143). The indication-specific Rx+DTx combinations are illustrated by adjunctive DTx such as reSET-O app (in combination with buprenorphine for opioid use disorder), and Rejoyn app (in combination with antidepressant drugs for the treatment of major depressive disorder). The FDA's guidelines on prescription drug use-related software represent a paradigm shift in evolving medical treatments by enabling integration of Rx and DTx through drug labeling (44). Currently, companies like Click Therapeutics (USA), Remepy (Israel) and Closed Loop Medicine (UK), advance the development of personalized drug + digital combination therapies (aka “software-enhanced drugs,” or “hybrid drugs”) for migraine, Parkinson's disease, cancer and other indications. As discussed below, DHT are positioned to integrate pharmacological and behavioral interventions with a patient's home environment that promotes healing and the tertiary prevention.

3 Health behavior is a function of a person and environment

Grounded in diverse theories, health behavior includes beliefs, motivation, abilities and daily actions that support health and prevent diseases (45). Most digital interventions targeting health behavior change utilize goal setting and self-management (46). However, the impact of housing environment on health behavior has been largely overlooked, perhaps with an exception for trauma-informed care. For people experiencing post-traumatic stress disorder, trauma-informed design creates spaces intended to promote relaxation and feeling safe, while removing adverse environmental stressors (47). On the other hand, extensive research on migraine triggers, such as stress, disrupted sleep, lighting and air pollution, has not translated to studying migraine-informed home spaces that support lifestyle modifications and prevent headaches (20, 26, 4850). Among general population, housing conditions that lead to sleep disruption can negatively impact mental health (51).

The built environment that promotes health behavior is likely to prevent chronic diseases (52, 53). Based on the Kurt Lewin's theory that behavior is a function of a person and environment, Brug and colleagues studied associations between homes, schools and workplaces (defined as micro-environment) and behaviors leading to obesity and cardiometabolic conditions (54). In another study, the relationships between the exposome and risks for developing diabetes revealed that neighborhood walkability and greenspaces can reduce the risk for type 2 diabetes (55).

Figure 1 summarizes the complex interplay between health, individual behavior and environmental exposure. The exposome and a person's behavior are affected by both social and commercial determinants of health (5658). Poor housing and nutrition, especially when coupled with environmental pollution, elevate the risk for a broad range of chronic conditions (59, 60). Furthermore, exposure to trauma and chronic stress significantly influence the onset and progression of chronic disease, as well as treatment outcomes (6163). Based on research studies, we hypothesize that the built environment that fosters positive affect and self-management can influence health behavior, and thus health outcomes (6466).

Figure 1
Diagram linking behavior to health outcomes using various determinants. Arrows connect social determinants (trauma, stress, nutrition, housing) and commercial determinants (pollution) to a behavior formula. Other influences include digital health technologies and the built environment (biophilic design, neuroarchitecture). The central theme is how these factors collectively affect health outcomes.

Figure 1. The applicability of the Kurt Lewin's field theory to integrating health behavior, digital health interventions and the built environment. The original theory, B = f (P,E), states that behavior (B) is a function of a person (P) and environment (E). The Lewin's Force Field approach to health behavior change shows competition between the health-harming exposome and therapeutic interventions that encompass a patient and the environment.

4 How can the built environment impact health outcomes?

The built environment (housing, workplaces, schools, healthcare facilities, neighborhoods etc) can have either negative or positive effects on individual and public health. Most people are aware of the environmental impact on health, as exemplified by air pollution, including indoor air quality (60, 67). Harvard's Healthy Buildings program offers educational information on optimizing housing and workplaces for health focused mostly on mitigating the negative effects of the built environment (68, 69). The expert tips on creating healthier homes include recommendations to reduce the exposure to unhealthy and toxic chemicals and to “(re)connect with nature and natural light indoors” (68). However, despite available information about toxic hazards associated with household products, consumer's willingness to pay for safer alternatives is low (70). For people living with conditions related to the nervous, neuroendocrine or immune systems, it is important to reduce the exposure to unhealthy household goods that may disrupt their functions (20).

In the book “Constructing Health,” Tye Farrow bridges translational research on enriched environment with designing spaces that can actively promote healing and health (71). The author describes examples of salutogenic architecture in order to create the built environment that provides neurological, psychological and emotional benefits. Grounded in the salutogenesis framework, salutogenic design aims to actively promote health by supporting an individual's “sense of coherence” through comprehensibility (easy navigation of spaces), manageability (providing a sense of control), and meaningfulness (spaces fostering a sense of purpose), collectively known as generalized resistance resources (24, 72). The patient-centered applications of salutogenic design include healthcare environments that support recovery and healing through connection with nature, provide social support, and offer opportunities for both relaxation and physical activity (73). Salutogenic spaces contribute to self-efficacy through cues that nurture confidence and relaxation (74).

The main objective of neuroarchitecture is to integrate neuroscience, environmental psychology and architecture in order to optimize design features, spatial arrangements, lighting, colors and acoustics for better health and wellbeing (25). A person's experience of neuroarchitecture-based environments modulates the activity of specific brain structures, such as amygdala, the prefrontal cortex, the anterior cingulate cortex, as well as the hypothalamic-pituitary-adrenal axis (7578). Neuroarchitecture and neuroaesthetics research shows that intentionally-designed built environment can provide personal comfort, fascination and coherence, while yielding physiological, neurocognitive, behavioral and emotional responses (7983). Physiological stress is also affected by architectural and nature-inspired interior features (81, 8486).

Biophilic design is an approach to architecture and interior design that incorporates natural materials, patterns and elements into the built environment in order to reconnect humans with nature (23). Grounded in the biophilia and attention-restoration theories, biophilic design creates enriched environments that evoke multisensory experiences leading to restorative states and diverse physiological responses (87). Based on research studies, examples of the health-related benefits of biophilic design elements include: (a) stress reduction and improved recovery from stress, (b) improved positive emotions and mood, (c) reduced anxiety and depressive symptoms, (d) lowering blood pressure and heart rate, (e) improved pain management and cognitive functions, and (f) improved immune functions (8790). Investigating biophilic intervention for cognitive functions in diabetic patients highlights the knowledge gap on long-term effects of biophilic design for chronically-ill patients (91).

Research on healthcare outcomes of biophilic design shows that the presence of biophilic features in hospitals can: (a) shorten the postsurgical recovery and hospitalization time, (b) reduce mortality and healthcare utilization (c) improve pain management, and (e) reduce stress for patients and healthcare professionals (9294). Similarly, nature-enriched neighborhoods were shown to reduce healthcare utilization for mental and cardiovascular diseases (9597). Based on emerging evidence and the ongoing research, biophilic design can be harnessed together with disease self-management to create therapeutic home environments for people living with chronic pain, migraine, depression, anxiety, cancer and other chronic conditions (20, 26).

Biophilic design is also recognized as a strategy to create therapeutic spaces for people living with dementia (98), Parkinson's disease (99), diabetes (91), and cancer survivors (100, 101). Medical applications of biophilic design can be illustrated by a “refuge and prospect” space intended to reduce stress, mitigate allostatic load and support cognitive reserve through rebalancing the autonomic nervous system and nurturing neuroplasticity. Biophilic attributes and neuroarchitecture can enhance response to analgesic, anxiolytic and antidepressant drugs, further supporting the relationships between intentionally-designed built environment and therapy outcomes (102). In conclusion, biophilic design offers unique prospects to transform the built environment into a therapeutic modality.

5 Integrating digital health and biophilic design

From translational point of view, the pleiotropic effects of biophilic design and the enriched environment can deliver broad-spectrum therapeutic effects, just like physical exercise, patient education and cognitive behavioral therapies (4, 20, 71). Therefore, transforming biophilic design into adjunctive therapies creates a novel value proposition for digital and pharma companies innovating medical treatments for chronic conditions. As detailed below, DHT are uniquely positioned to integrate biophilic design with behavioral, physical, and pharmacological interventions—enabling “enriched environment-enhanced” multimodal therapies.

Figure 2A shows the evolving role of DHT in chronic disease management. The emergence of DTx opened several strategies for the delivery of non-pharmacological therapies and their subsequent integration with prescription medications (4143). In our earlier work, we advocated for leveraging digital technologies to amplify the therapeutic effects of music, physical activity, sleep hygiene, breathing exercises, mindfulness meditation, yoga, and other self-care practices, as well as integrating these aforementioned self-care practices with pharmacotherapies for depression, epilepsy, chronic pain, and cancer (103105). More recently, we provided a rationale for developing multimodal interventions that combine DHT, prescription drugs and the therapeutic home environment (20).

Figure 2
Diagram illustrating digital therapeutics integration: A) Sequence showing transition from Rx (medication) to DTx (digital therapeutics), then Rx+DTx, to THE(Rx+DTx) in a home setting. B) Flowchart depicting integration of Rx and PDURS into a therapeutic home environment, leading to digital therapeutics, progressing from treatment to remission and tertiary prevention. C) Comparison showing less biophilic features in a cluttered room versus more biophilic features in a modern, plant-filled living room with the use of digital therapeutics.

Figure 2. Integration of digital health interventions with a patient's home environment. (A) Evolving health technologies from prescription drugs (Rx) to digital therapeutics (DTx) and their integration with the therapeutic home environment (THE). (B) One of the roles of the therapeutic home environment in a long-term management of chronic conditions. Optimizing a patient home environment for accelerated healing, prevention of disease symptoms and a relapse illustrates the ability of the therapeutic home environment to improve digital health intervention outcomes beyond remission. (C) A hypothetical example of a drug + digital combination therapy for a chronic condition where a patient's home environment is optimized using biophilic design, offering multisensory engagement through natural light and other biophilic elements such as indoor plants, natural materials and patterns. Through biophilic features and optimized spatial arrangement, this redesigned living room fosters stress reduction, relaxation and self-efficacy.

One approach to integrate biophilic design and digital interventions is by delivering patient education focused on how natural environments provide health benefits and offering biophilic design DIY (do-it-yourself) actionable insights (20). This notion is further supported by biophilic VR interventions that showed positive effects such as stress reduction, alleviating anxiety and pain, and behavior change in oncology patients (106109). Biophilic design is well positioned to enhance health outcomes of the smart home technologies that employ consumer electronics, wearables and mobile apps delivering health information (e.g., Samsung's “Home for Wellness” ecosystem), as previously suggested for the aging population (110112). Emergence of AI-powered mobile apps and extended reality (XR) technologies for interior designers also illustrates opportunities to provide ideas for health-centric optimization of a patient's home environment (113). Another strategy to bridge the health benefits of biophilic design and digital health is through health-centric, household goods e-commerce as a digital health platform that enables creating the therapeutic home environment (20).

Promoting biophilic design through DHT can benefit pharma and biotech companies. For example, PDURS-based drug + digital combination therapy is an innovative approach to simultaneously treat chronic conditions at the molecular and behavioral levels. As illustrated in Figure 2B, once reaching remission, continuum of care through digital interventions reinforces the tertiary prevention. The therapeutic home environment may further improve the effectiveness of Rx+DTx combinations by accelerating remission of chronic pain, migraine, depression, anxiety or cancer (20). This aspect is illustrated in Figure 2C highlighting how living spaces that provide more natural light and other biophilic elements can integrate drug + digital + biophilic interventions. Once a patient reaches remission, deprescribing medications can be mitigated by a continuous use of DTx. In such cases, the therapeutic home environment that comprises biophilic spaces fostering self-care can support the prevention of relapses through restorative effects. For people living with epilepsy, such approach can improve the effectiveness of drug + digital combination therapy in controlling epileptic seizures (43).

6 Indications and future directions

Digital and pharmacological interventions for chronic diseases can be enhanced by biophilic, enriched environments intended to reduce stress, improve positive affect, rebalance the autonomic nervous system and promote neuroplasticity (20). For example, DTx-delivered Rhythmic Auditory Stimulation therapy for Parkinson's disease (PD) can be enhanced through multisensory home environment designed for PD patients (32, 99, 114, 115). To ameliorate the prognosis for mild cognitive impairment and dementia, DHT and biophilic design can simultaneously deliver multisensory experiences intended to improve patient care, including management of comorbidities, e.g., depression (98, 116119). Such integrative approach also applies to enhancing outcomes of non-invasive sensory stimulation technologies and music-based interventions for the Alzheimer's disease (119121). For chronic pain and migraine, outcomes of DTx and drug + digital combination therapies can be further improved in the presence of intentionally-designed biophilic home environment that fosters self-care practices (20, 26, 31, 122, 123). As emphasized in Figure 2C, drug + digital combination therapies for chronic pain or depression can be further optimized by the therapeutic home environment that offers multisensory stimulation through natural light and greenery, haptic feedback from natural materials, and personalized soundscapes that support positive emotions (124). Based on aforementioned examples, we conclude that home ecosystem can be embodied in AI-powered digital interventions to enhance overall patient experience, engagement and, ultimately, outcomes.

DHT are uniquely positioned to validate a patient's home environment as a therapeutic target for chronic disease prevention and treatment (20). Furthermore, incorporating biophilic design, as an “active non-pharmacological ingredient,” into digital therapies can improve their effectiveness, hence creating a new value proposition for digital health companies, healthcare systems and payers, to name a few examples of stakeholders. In our previous work, we described household goods e-commerce as a digital health platform delivering biophilic design and therapeutic home environment for specific chronic conditions (20), illustrating one possible research and development (R&D) strategy to integrate biophilic design and DHT. Another opportunity for advancing “enriched environment-enhanced” DTx solutions is expanding content by adding biophilic e-design functionality, biophilic design education focused on the health benefits, and incorporation of fractal designs into visuals to enhance user experience via relaxation (125, 126). For XR-based DHT, incorporating health-centric e-design features can integrate behavioral and environmental interventions. Given the growing interest in longevity and healthy aging, creating biophilic housing communities that prioritize connection with nature, social interactions and physical activities may also positively impact the effectiveness of digital interventions (127, 128).

7 Limitations

While this perspective article highlights opportunities to pivot DHT toward harnessing medicinal properties of biophilic design, we acknowledge real-world barriers for such approach. For example, the knowledge gap on long-term effects of biophilic interventions for chronic conditions, when combined with the knowledge-practice gap can delay a broader adoption of biophilic design into healthcare by many years. We suggest that the real-world pathway to validate biophilic design as a long-term therapeutic modality is through pragmatic clinical trials in hospitals, hospital at home programs, neurorehabilitation facilities, senior at-home care and assisted-living care settings (26, 92, 98, 129, 130). Testing the effects of biophilic design in improving patient's outcomes is feasible through remote patient monitoring employed in hospital at home programs (130, 131).

Additionally, a lack of awareness among general public and healthcare professionals about the impact of home environment on health outcomes poses a challenge to accelerate R&D activities to optimize health-centric solutions for a patient's living spaces. While limited return on investment (ROI) analysis for biophilic design are related to workplaces, education, hospitality and healthcare (132, 133), to the best of our knowledge, there are no health economics and outcomes research (HEOR) data on the use of biophilic design and a patient's home environment-based interventions for chronic diseases.

The commercial success of integrating digital health with biophilic design hinges on more than just innovation; it requires a nuanced understanding of market dynamics and user adoption. While the potential for improved health outcomes is promising, the real challenge lies in creating scalable, economically viable solutions that meet both consumer demand and organizational goals. DHT must not only complement natural environments and improve human health but be designed in ways that drive measurable ROI for companies—whether through improved outcomes, enhanced user engagement, productivity or reduced healthcare costs. Bridging the gap between these disciplines isn't just about technology or design; it's about creating sustainable business models that align with the evolving needs of consumers and the healthcare industry.

8 Conclusions

There are needs to improve the prevention and treatment outcomes for people living with chronic disorders, in particular for those who struggle with refractory conditions. Software-based health technologies have unique abilities to deliver multimodal therapies comprising cognitive and behavioral interventions, physical activities, patient education, disease self-management and self-efficacy. Given growing research evidence on medicinal properties of biophilic design and enriched environments, DHT are uniquely positioned to bridge interior design and health outcomes by delivering biophilic interventions, as well as integrating home environment with pharmacotherapies using the PDURS framework or adjunctive DTx strategy.

Digital technologies that transform the built environment into therapeutic spaces can benefit diverse stakeholders, including patients, healthcare professionals, value-based healthcare systems, payers, digital health and pharma companies, architects, interior designers, social impact and real estate investors. We hope that our perspective article will encourage DHT innovations to target chronic diseases at the combined person + behavior + environment levels. Our call to action is to initiate a dialogue on how to harness the medicinal properties of intentionally-designed spaces to enhance patient-centered care through digital health interventions.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

GB: Writing – original draft, Conceptualization, Writing – review & editing. MF: Writing – original draft, Writing – review & editing. DH: Conceptualization, Writing – review & editing, Writing – original draft.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Acknowledgments

GB would like to thank the University of Utah Print and Mail Services for their help with preparation of figures.

Conflict of interest

GB is a founder and owner of OMNI Self-care, LLC, a health promotion and consulting company supporting evidence-based self-care and e-commerce solutions to improve health outcomes. OMNI Self-care has a contract agreement with Dayhouse Studio. GB is a co-inventor on two issued US patents related to digital health technologies 9,569,562 and 9,747,423 “Disease Therapy Game Technology” and patent-pending application “Multimodal Platform for Treating Epilepsy”. These patents are owned by the University of Utah. GB and DH are co-inventors on a patent-pending technology “System and method for improving therapeutic interventions using household goods e-commerce platform.” DH is the founder and owner of Dayhouse Studio, a health-centric biophilic interior design firm, and the Dayhouse Living magazine. MF is a VC investor, board member and strategic advisor to healthcare startups in areas of digital health, precision medicine and women's health. She is the Founder of MF7 Ventures, Senior Advisor for Accelmed Partners and Seed Healthcare, and board director of Click Therapeutics among many other portfolio companies.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Patel NA, Butte AJ. Characteristics and challenges of the clinical pipeline of digital therapeutics. NPJ Digit Med. (2020) 3:159. doi: 10.1038/s41746-020-00370-8

PubMed Abstract | Crossref Full Text | Google Scholar

2. Wang C, Lee C, Shin H. Digital therapeutics from bench to bedside. NPJ Digit Med. (2023) 6:38. doi: 10.1038/s41746-023-00777-z

PubMed Abstract | Crossref Full Text | Google Scholar

3. Chengyu Z, Xueyan H, Ying F. Research on disease management of chronic disease patients based on digital therapeutics: a scoping review. Digital Health. (2024) 10:20552076241297064. doi: 10.1177/20552076241297064

PubMed Abstract | Crossref Full Text | Google Scholar

4. Biskupiak Z, Ha VV, Rohaj A, Bulaj G. Digital therapeutics for improving effectiveness of pharmaceutical drugs and biological products: preclinical and clinical studies supporting development of drug + digital combination therapies for chronic diseases. J Clin Med. (2024) 13:403. doi: 10.3390/jcm13020403

PubMed Abstract | Crossref Full Text | Google Scholar

5. Schmidt L, Pawlitzki M, Renard BY, Meuth SG, Masanneck L. The three-year evolution of Germany's digital therapeutics reimbursement program and its path forward. NPJ Digit Med. (2024) 7:139. doi: 10.1038/s41746-024-01137-1

PubMed Abstract | Crossref Full Text | Google Scholar

6. Watson A, Chapman R, Shafai G, Maricich YA. FDA regulations and prescription digital therapeutics: evolving with the technologies they regulate. Front Digit Health. (2023) 5:1086219. doi: 10.3389/fdgth.2023.1086219

PubMed Abstract | Crossref Full Text | Google Scholar

7. van Kessel R, Roman-Urrestarazu A, Anderson M, Kyriopoulos I, Field S, Monti G, et al. Mapping factors that affect the uptake of digital therapeutics within health systems: scoping review. J Med Internet Res. (2023) 25:e48000. doi: 10.2196/48000

PubMed Abstract | Crossref Full Text | Google Scholar

8. Borges do Nascimento IJ, Abdulazeem H, Vasanthan LT, Martinez EZ, Zucoloto ML, Østengaard L, et al. Barriers and facilitators to utilizing digital health technologies by healthcare professionals. NPJ Digit Med. (2023) 6:161. doi: 10.1038/s41746-023-00899-4

PubMed Abstract | Crossref Full Text | Google Scholar

9. Gan DZQ, McGillivray L, Han J, Christensen H, Torok M. Effect of engagement with digital interventions on mental health outcomes: a systematic review and meta-analysis. Front Digit Health. (2021) 3:764079. doi: 10.3389/fdgth.2021.764079

PubMed Abstract | Crossref Full Text | Google Scholar

10. Nwosu A, Boardman S, Husain MM, Doraiswamy PM. Digital therapeutics for mental health: is attrition the achilles heel? Front Psychiatry. (2022) 13:900615. doi: 10.3389/fpsyt.2022.900615

PubMed Abstract | Crossref Full Text | Google Scholar

11. Cho PJ, Olaye IM, Shandhi MMH, Daza EJ, Foschini L, Dunn JP. Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies. Lancet Digital Health. (2025) 7:e23–34. doi: 10.1016/S2589-7500(24)00219-X

PubMed Abstract | Crossref Full Text | Google Scholar

12. Cheah KJ, Abdul Manaf Z, Fitri Mat Ludin A, Razalli NH, Mohd Mokhtar N, Md Ali SH. Mobile apps for common noncommunicable disease management: systematic search in app stores and evaluation using the mobile app rating scale. JMIR Mhealth Uhealth. (2024) 12:e49055. doi: 10.2196/49055

PubMed Abstract | Crossref Full Text | Google Scholar

13. Argentieri MA, Amin N, Nevado-Holgado AJ, Sproviero W, Collister JA, Keestra SM, et al. Integrating the environmental and genetic architectures of aging and mortality. Nat Med. (2025) 31:1016–25. doi: 10.1038/s41591-024-03483-9

PubMed Abstract | Crossref Full Text | Google Scholar

14. Münzel T, Sørensen M, Hahad O, Nieuwenhuijsen M, Daiber A. The contribution of the exposome to the burden of cardiovascular disease. Nat Rev Cardiol. (2023) 20:651–69. doi: 10.1038/s41569-023-00873-3

PubMed Abstract | Crossref Full Text | Google Scholar

15. Ward JS, Duncan JS, Jarden A, Stewart T. The impact of children's exposure to greenspace on physical activity, cognitive development, emotional wellbeing, and ability to appraise risk. Health Place. (2016) 40:44–50. doi: 10.1016/j.healthplace.2016.04.015

PubMed Abstract | Crossref Full Text | Google Scholar

16. De la Fuente F, Saldías MA, Cubillos C, Mery G, Carvajal D, Bowen M, et al. Green space exposure association with type 2 diabetes mellitus, physical activity, and obesity: a systematic review. Int J Environ Res Public Health. (2021) 18:97. doi: 10.3390/ijerph18010097

PubMed Abstract | Crossref Full Text | Google Scholar

17. Wilson B, Neale C, Roe J. Urban green space access, social cohesion, and mental health outcomes before and during COVID-19. Cities. (2024) 152:105173. doi: 10.1016/j.cities.2024.105173

Crossref Full Text | Google Scholar

18. Walton L, Skillen E, Mosites E, Bures RM, Amah-Mbah C, Sandoval M, et al. The intersection of health and housing: analysis of the research portfolios of the National Institutes of Health, Centers for Disease Control and Prevention, and U.S department of housing and urban development. PLoS ONE. (2024) 19:e0296996. doi: 10.1371/journal.pone.0296996

PubMed Abstract | Crossref Full Text | Google Scholar

19. Ghorbany S, Hu M, Yao S, Sisk M, Wang C, Zhang K, et al. Data driven assessment of built environment impacts on urban health across United States cities. Sci Rep. (2025) 15:19998. doi: 10.1038/s41598-025-04567-3

PubMed Abstract | Crossref Full Text | Google Scholar

20. Huntsman DD, Bulaj G. Home Environment as a therapeutic target for prevention and treatment of chronic diseases: delivering restorative living spaces, patient education and self-care by bridging biophilic design, e-commerce and digital health technologies. Int J Environ Res Public Health. (2025) 22:225. doi: 10.3390/ijerph22020225

PubMed Abstract | Crossref Full Text | Google Scholar

21. Hernandez-Garcia E, Chrysikou E, Nekhlyudov L, Gilroy DW, Ordóñez-Mena JM. Home-built environment interventions and inflammation biomarkers: a systematic review and meta-analysis protocol. BJGP Open. (2022) 6:BJGPO.2022.0104. doi: 10.3399/BJGPO.2022.0104

PubMed Abstract | Crossref Full Text | Google Scholar

22. Hernandez-Garcia E, Chrysikou E, Kalea AZ. The interplay between housing environmental attributes and design exposures and psychoneuroimmunology profile—an exploratory review and analysis paper in the cancer survivors' mental health morbidity context. Int J Environ Res Public Health. (2021) 18:10891. doi: 10.3390/ijerph182010891

PubMed Abstract | Crossref Full Text | Google Scholar

23. Kellert SR, Heerwagen J, Mador M. Biophilic Design: The Theory, Science, and Practice of Bringing Buildings to Life. Hoboken, N.J.: Wiley (2008).

Google Scholar

24. Dilani A. Psychosocially supportive design: a salutogenic approach to the design of the physical environment. Des Health Sci Rev. (2008) 1:47–55.

Google Scholar

25. Wang S, Sanches de Oliveira G, Djebbara Z, Gramann K. The embodiment of architectural experience: a methodological perspective on neuro-architecture. Front Hum Neurosci. (2022) 16:833528. doi: 10.3389/fnhum.2022.833528

PubMed Abstract | Crossref Full Text | Google Scholar

26. Huntsman DD, Bulaj G. Healthy dwelling: design of biophilic interior environments fostering self-care practices for people living with migraines, chronic pain, and depression. Int J Environ Res Public Health. (2022) 19:2248. doi: 10.3390/ijerph19042248

PubMed Abstract | Crossref Full Text | Google Scholar

27. Ribba B, Peck R, Hutchinson L, Bousnina I, Motti D. Digital therapeutics as a new therapeutic modality: a review from the perspective of clinical pharmacology. Clin Pharmacol Ther. (2023) 114:578–90. doi: 10.1002/cpt.2989

PubMed Abstract | Crossref Full Text | Google Scholar

28. Garcia LM, Birckhead BJ, Krishnamurthy P, Sackman J, Mackey IG, Louis RG, et al. An 8-week self-administered at-home behavioral skills-based virtual reality program for chronic low back pain: double-blind, randomized, placebo-controlled trial conducted during COVID-19. J Med Internet Res. (2021) 23:e26292. doi: 10.2196/26292

PubMed Abstract | Crossref Full Text | Google Scholar

29. Shomali M, Mora P, Aleppo G, Peeples M, Kumbara A, MacLeod J, et al. The critical elements of digital health in diabetes and cardiometabolic care. Front Endocrinol. (2024) 15:1469471. doi: 10.3389/fendo.2024.1469471

PubMed Abstract | Crossref Full Text | Google Scholar

30. Gussoni G, Ravot E, Zecchina M, Recchia G, Santoro E, Ascione R, et al. Digital therapeutics in oncology: findings, barriers and prospects. A narrative review. Ann Res Oncol. (2022) 2:55–69. doi: 10.48286/aro.2022.39

Crossref Full Text | Google Scholar

31. Abbadessa G, Brigo F, Clerico M, De Mercanti S, Trojsi F, Tedeschi G, et al. Digital therapeutics in neurology. J Neurol. (2022) 269:1209–24. doi: 10.1007/s00415-021-10608-4

PubMed Abstract | Crossref Full Text | Google Scholar

32. Ellis TD, Earhart GM. Digital therapeutics in Parkinson's disease: practical applications and future potential. J Parkinsons Dis. (2021) 11:S95–S101. doi: 10.3233/JPD-202407

PubMed Abstract | Crossref Full Text | Google Scholar

33. Philippe TJ, Sikder N, Jackson A, Koblanski ME, Liow E, Pilarinos A, et al. Digital health interventions for delivery of mental health care: systematic and comprehensive meta-review. JMIR Ment Health. (2022) 9:e35159. doi: 10.2196/35159

PubMed Abstract | Crossref Full Text | Google Scholar

34. Moschonis G, Siopis G, Jung J, Eweka E, Willems R, Kwasnicka D, et al. Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials. Lancet Digital Health. (2023) 5:e125–e43. doi: 10.1016/S2589-7500(22)00233-3

PubMed Abstract | Crossref Full Text | Google Scholar

35. Solomon DH, Rudin RS. Digital health technologies: opportunities and challenges in rheumatology. Nat Rev Rheumatol. (2020) 16:525–35. doi: 10.1038/s41584-020-0461-x

PubMed Abstract | Crossref Full Text | Google Scholar

36. Spatz ES, Ginsburg GS, Rumsfeld JS, Turakhia MP. Wearable digital health technologies for monitoring in cardiovascular medicine. N Engl J Med. (2024) 390:346–56. doi: 10.1056/NEJMra2301903

PubMed Abstract | Crossref Full Text | Google Scholar

37. Doherty C, Baldwin M, Keogh A, Caulfield B, Argent R. Keeping pace with wearables: a living umbrella review of systematic reviews evaluating the accuracy of consumer wearable technologies in health measurement. Sports Med. (2024) 54:2907–26. doi: 10.1007/s40279-024-02077-2

PubMed Abstract | Crossref Full Text | Google Scholar

38. Hirten RP, Danieletto M, Sanchez-Mayor M, Whang JK, Lee KW, Landell K, et al. Physiological data collected from wearable devices identify and predict inflammatory bowel disease flares. Gastroenterology. (2025) 168:939–51.e5. doi: 10.1053/j.gastro.2024.12.024

PubMed Abstract | Crossref Full Text | Google Scholar

39. Butler PM, Yang J, Brown R, Hobbs M, Becker A, Penalver-Andres J, et al. Smartwatch- and smartphone-based remote assessment of brain health and detection of mild cognitive impairment. Nat Med. (2025) 31:829–39. doi: 10.1038/s41591-024-03475-9

PubMed Abstract | Crossref Full Text | Google Scholar

40. Zheng NS, Annis J, Master H, Han L, Gleichauf K, Ching JH, et al. Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the all of US research program. Nat Med. (2024) 30:2648–56. doi: 10.1038/s41591-024-03155-8

PubMed Abstract | Crossref Full Text | Google Scholar

41. Bulaj G. Combining non-pharmacological treatments with pharmacotherapies for neurological disorders: a unique interface of the brain, drug-device, and intellectual property. Front Neurol. (2014) 5:126. doi: 10.3389/fneur.2014.00126

PubMed Abstract | Crossref Full Text | Google Scholar

42. Sverdlov O, van Dam J, Hannesdottir K, Thornton-Wells T. Digital therapeutics: an integral component of digital innovation in drug development. Clin Pharmacol Ther. (2018) 104:72–80. doi: 10.1002/cpt.1036

PubMed Abstract | Crossref Full Text | Google Scholar

43. Afra P, Bruggers CS, Sweney M, Fagatele L, Alavi F, Greenwald M, et al. Mobile software as a medical device (SaMD) for the treatment of epilepsy: development of digital therapeutics comprising behavioral and music-based interventions for neurological disorders. Front Hum Neurosci. (2018) 12:171. doi: 10.3389/fnhum.2018.00171

PubMed Abstract | Crossref Full Text | Google Scholar

44. FDA. Regulatory Considerations for Prescription Drug Use-Related Software: FDA. (2023). Available online at: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/regulatory-considerations-prescription-drug-use-related-software (Accessed June 29, 2025).

Google Scholar

45. Sheeran P, Klein WMP, Rothman AJ. Health behavior change: moving from observation to intervention. Annu Rev Psychol. (2017) 68, 573–600. doi: 10.1146/annurev-psych-010416-044007

PubMed Abstract | Crossref Full Text | Google Scholar

46. Taj F, Klein MCA, van Halteren A. Digital health behavior change technology: bibliometric and scoping review of two decades of research. JMIR Mhealth Uhealth. (2019) 7:e13311. doi: 10.2196/13311

PubMed Abstract | Crossref Full Text | Google Scholar

47. Owen C, Crane J. Trauma-informed design of supported housing: a scoping review through the lens of neuroscience. Int J Environ Res Public Health. (2022) 19:14279. doi: 10.3390/ijerph192114279

PubMed Abstract | Crossref Full Text | Google Scholar

48. Elser H, Kruse CFG, Schwartz BS, Casey JA. The environment and headache: a narrative review. Curr Environ Health Rep. (2024) 11:184–203. doi: 10.1007/s40572-024-00449-4

PubMed Abstract | Crossref Full Text | Google Scholar

49. Friedman DI, De Ver Dye T. Migraine and the environment. Headache. (2009) 49:941–52. doi: 10.1111/j.1526-4610.2009.01443.x

PubMed Abstract | Crossref Full Text | Google Scholar

50. Agbetou M, Adoukonou T. Lifestyle modifications for migraine management. Front Neurol. (2022) 13:719467. doi: 10.3389/fneur.2022.719467

PubMed Abstract | Crossref Full Text | Google Scholar

51. Riva A, Rebecchi A, Capolongo S, Gola M. Can homes affect well-being? A scoping review among housing conditions, indoor environmental quality, and mental health outcomes. Int J Environ Res Public Health. (2022) 19:15975. doi: 10.3390/ijerph192315975

PubMed Abstract | Crossref Full Text | Google Scholar

52. Frank LD, Adhikari B, White KR, Dummer T, Sandhu J, Demlow E, et al. Chronic disease and where you live: built and natural environment relationships with physical activity, obesity, and diabetes. Environ Int. (2022) 158:106959. doi: 10.1016/j.envint.2021.106959

PubMed Abstract | Crossref Full Text | Google Scholar

53. Nguyen QC, Tasdizen T, Alirezaei M, Mane H, Yue X, Merchant JS, et al. Neighborhood built environment, obesity, and diabetes: a Utah siblings study. SSM—Population Health. (2024) 26:101670. doi: 10.1016/j.ssmph.2024.101670

PubMed Abstract | Crossref Full Text | Google Scholar

54. Brug J, van Lenthe FJ, Kremers SPJ. Revisiting Kurt Lewin: how to gain insight into environmental correlates of obesogenic behaviors. Am J Prev Med. (2006) 31:525–9. doi: 10.1016/j.amepre.2006.08.016

PubMed Abstract | Crossref Full Text | Google Scholar

55. Beulens JWJ, Pinho MGM, Abreu TC, den Braver NR, Lam TM, Huss A, et al. Environmental risk factors of type 2 diabetes—an exposome approach. Diabetologia. (2022) 65:263–74. doi: 10.1007/s00125-021-05618-w

PubMed Abstract | Crossref Full Text | Google Scholar

56. Hacker K, Thomas CW, Zhao G, Claxton JS, Eke P, Town M. Social determinants of health and health-related social needs among adults with chronic diseases in the united states, behavioral risk factor surveillance system, 2022. Prev Chronic Dis. (2024) 21:E94. doi: 10.5888/pcd21.240362

PubMed Abstract | Crossref Full Text | Google Scholar

57. Hill-Briggs F, Adler NE, Berkowitz SA, Chin MH, Gary-Webb TL, Navas-Acien A, et al. Social determinants of health and diabetes: a scientific review. Diabetes Care. (2020) 44:258–79. doi: 10.2337/dci20-0053

PubMed Abstract | Crossref Full Text | Google Scholar

58. Mialon M. An overview of the commercial determinants of health. Global Health. (2020) 16:74. doi: 10.1186/s12992-020-00607-x

PubMed Abstract | Crossref Full Text | Google Scholar

59. Krieger J, Higgins DL. Housing and health: time again for public health action. Am J Public Health. (2002) 92:758–68. doi: 10.2105/AJPH.92.5.758

PubMed Abstract | Crossref Full Text | Google Scholar

60. Bennitt FB, Wozniak SS, Causey K, Burkart K, Brauer M. Estimating disease burden attributable to household air pollution: new methods within the Global Burden of Disease Study. Lancet Global Health. (2021) 9:S18. doi: 10.1016/S2214-109X(21)00126-1

Crossref Full Text | Google Scholar

61. Antoniou G, Lambourg E, Steele JD, Colvin LA. The effect of adverse childhood experiences on chronic pain and major depression in adulthood: a systematic review and meta-analysis. Br J Anaesth. (2023) 130:729–46. doi: 10.1016/j.bja.2023.03.008

PubMed Abstract | Crossref Full Text | Google Scholar

62. Sonu S, Post S, Feinglass J. Adverse childhood experiences and the onset of chronic disease in young adulthood. Prev Med. (2019) 123:163–70. doi: 10.1016/j.ypmed.2019.03.032

PubMed Abstract | Crossref Full Text | Google Scholar

63. Tidmarsh LV, Harrison R, Ravindran D, Matthews SL, Finlay KA. The influence of adverse childhood experiences in pain management: mechanisms, processes, and trauma-informed care. Front Pain Res. (2022) 3:923866. doi: 10.3389/fpain.2022.923866

PubMed Abstract | Crossref Full Text | Google Scholar

64. Shiota MN, Papies EK, Preston SD, Sauter DA. Positive affect and behavior change. Curr Opin Behav Sci. (2021) 39:222–8. doi: 10.1016/j.cobeha.2021.04.022

Crossref Full Text | Google Scholar

65. Kondo MC, Fluehr JM, McKeon T, Branas CC. Urban green space and its impact on human health. Int J Environ Res Public Health. (2018) 15:445. doi: 10.3390/ijerph15030445

PubMed Abstract | Crossref Full Text | Google Scholar

66. Hunter RF, Christian H, Veitch J, Astell-Burt T, Hipp JA, Schipperijn J. The impact of interventions to promote physical activity in urban green space: a systematic review and recommendations for future research. Soc Sci Med. (2015) 124:246–56. doi: 10.1016/j.socscimed.2014.11.051

PubMed Abstract | Crossref Full Text | Google Scholar

67. Allen JG. Recommitting to ventilation standards for healthy indoor air quality. Am J Public Health. (2024) 114:991–3. doi: 10.2105/AJPH.2024.307809

PubMed Abstract | Crossref Full Text | Google Scholar

68. Allen JG, Cedeno-Laurent J, Jones E, Luna M, Macnaughton P, Robinson S, et al. Homes for Health: 36 Expert Tips to Make Your Home A Healthier Home. Harvard TH Chan School of Public Health (2019). p. 28.

Google Scholar

69. Allen JG, Bernstein A, Cao X, Eitland E, Flanigan S, Gokhale M, et al. The 9 Foundations of A Healthy Building. Harvard: School of Public Health (2017).

Google Scholar

70. Boman A, Miguel M, Andersson I, Slunge D. The effect of information about hazardous chemicals in consumer products on behaviour—a systematic review. Sci Total Environ. (2024) 947:174774. doi: 10.1016/j.scitotenv.2024.174774

PubMed Abstract | Crossref Full Text | Google Scholar

71. Farrow T. Constructing Health: How the Built Environment Enhances Your Mind's Health. Toronto: University of Toronto Press (2024). doi: 10.3138/9781487557232

Crossref Full Text | Google Scholar

72. Antonovsky A. The salutogenic model as a theory to guide health promotion. Health Promot Int. (1996) 11:11–8. doi: 10.1093/heapro/11.1.11

Crossref Full Text | Google Scholar

73. Golembiewski JA. “Salutogenic architecture in healthcare settings.” In: The Handbook of Salutogenesis. (2017). p. :267–76. doi: 10.1007/978-3-319-04600-6_26

PubMed Abstract | Crossref Full Text | Google Scholar

74. Mazzi A. Toward a unified language (and application) of salutogenic design: an opinion paper. HERD. (2021) 14:337–49. doi: 10.1177/1937586720967347

PubMed Abstract | Crossref Full Text | Google Scholar

75. Medhat Assem H, Mohamed Khodeir L, Fathy F. Designing for human wellbeing: the integration of neuroarchitecture in design—a systematic review. Ain Shams Eng J. (2023) 14:102102. doi: 10.1016/j.asej.2022.102102

Crossref Full Text | Google Scholar

76. Banaei M, Hatami J, Yazdanfar A, Gramann K. Walking through architectural spaces: the impact of interior forms on human brain dynamics. Front Hum Neurosci. (2017) 11:477. doi: 10.3389/fnhum.2017.00477

PubMed Abstract | Crossref Full Text | Google Scholar

77. Abbas S, Okdeh N, Roufayel R, Kovacic H, Sabatier J-M, Fajloun Z, et al. Neuroarchitecture: how the perception of our surroundings impacts the brain. Biology. (2024) 13:220. doi: 10.3390/biology13040220

PubMed Abstract | Crossref Full Text | Google Scholar

78. Valentine C, Mitcheltree H, Sjövall IAK, Khalil MH. Architecturally mediated allostasis and neurosustainability: a proposed theoretical framework for the impact of the built environment on neurocognitive health. Brain Sci. (2025) 15:201. doi: 10.3390/brainsci15020201

PubMed Abstract | Crossref Full Text | Google Scholar

79. Higuera-Trujillo JL, Llinares C, Macagno E. The cognitive-emotional design and study of architectural space: a scoping review of neuroarchitecture and its precursor approaches. Sensors. (2021) 21:2193. doi: 10.3390/s21062193

PubMed Abstract | Crossref Full Text | Google Scholar

80. Chatterjee A, Coburn A, Weinberger A. The neuroaesthetics of architectural spaces. Cogn Process. (2021) 22:115–20. doi: 10.1007/s10339-021-01043-4

PubMed Abstract | Crossref Full Text | Google Scholar

81. Valentine C. The impact of architectural form on physiological stress: a systematic review. Front Comput Sci. (2024) 5:1237531. doi: 10.3389/fcomp.2023.1237531

PubMed Abstract | Crossref Full Text | Google Scholar

82. Valentine C, Steffert T, Mitcheltree H, Steemers K. Architectural neuroimmunology: a pilot study examining the impact of biophilic architectural design on neuroinflammation. Buildings. (2024) 14:1292. doi: 10.3390/buildings14051292

Crossref Full Text | Google Scholar

83. Sussman A, Hollander J. Cognitive Architecture: Designing for How we Respond to the Built Environment: New York, NY: Routledge (2021). doi: 10.4324/9781003031543

PubMed Abstract | Crossref Full Text | Google Scholar

84. Fich LB, Jönsson P, Kirkegaard PH, Wallergård M, Garde AH, Hansen Å. Can architectural design alter the physiological reaction to psychosocial stress? A virtual TSST experiment. Physiol Behav. (2014) 135:91–7. doi: 10.1016/j.physbeh.2014.05.034

PubMed Abstract | Crossref Full Text | Google Scholar

85. Guan H, Zhang X, Dong J, Shu R, Hu S, Tong Z. Biophilic environment with auditory-olfactory stimuli contributes to psychophysiological restoration from stress. Build Environ. (2025) 275:112830. doi: 10.1016/j.buildenv.2025.112830

Crossref Full Text | Google Scholar

86. McSweeney J, Johnson S, Sherry S, Singleton J, Rainham D. Indoor nature exposure and influence on physiological stress markers. Int J Environ Health Res. (2021) 31:636–50. doi: 10.1080/09603123.2019.1679357

PubMed Abstract | Crossref Full Text | Google Scholar

87. Browning WD, Ryan CO, Clancy JO. “14 patterns of biophilic design.” In: Improving Health and Wellbeing in the Built Environment (10th Anniversary Edition). New York, NY: Terrapin Bright Green LLC (2024).

Google Scholar

88. Hung S-H, Chang C-Y. Health benefits of evidence-based biophilic-designed environments: a review. J People Plants Environ. (2021) 24:1–16. doi: 10.11628/ksppe.2021.24.1.1

Crossref Full Text | Google Scholar

89. Zhong W, Schröder T, Bekkering J. Biophilic design in architecture and its contributions to health, well-being, and sustainability: a critical review. Front Archit Res. (2022) 11:114–41. doi: 10.1016/j.foar.2021.07.006

Crossref Full Text | Google Scholar

90. Gillis K, Gatersleben B. A review of psychological literature on the health and wellbeing benefits of biophilic design. Buildings. (2015) 5:948–63. doi: 10.3390/buildings5030948

PubMed Abstract | Crossref Full Text | Google Scholar

91. Dai J, Wang M, Zhang H, Wang Z, Meng X, Sun Y, et al. Effects of indoor biophilic environments on cognitive function in elderly patients with diabetes: study protocol for a randomized controlled trial. Front Psychol. (2025) 16:1512175. doi: 10.3389/fpsyg.2025.1512175

PubMed Abstract | Crossref Full Text | Google Scholar

92. Tekin BH, Corcoran R, Gutiérrez RU. A systematic review and conceptual framework of biophilic design parameters in clinical environments. HERD. (2023) 16:233–50. doi: 10.1177/19375867221118675

PubMed Abstract | Crossref Full Text | Google Scholar

93. Guidolin K, Jung F, Hunter S, Yan H, Englesakis M, Verderber S, et al. The influence of exposure to nature on inpatient hospital stays: a scoping review. HERD. (2024) 17:360–75. doi: 10.1177/19375867231221559

PubMed Abstract | Crossref Full Text | Google Scholar

94. Al Khatib I, Samara F, Ndiaye M. A systematic review of the impact of therapeutical biophilic design on health and wellbeing of patients and care providers in healthcare services settings. Front Built Environ. (2024) 10:1467692. doi: 10.3389/fbuil.2024.1467692

Crossref Full Text | Google Scholar

95. Makram OM, Pan A, Maddock JE, Kash BA. Nature and mental health in urban Texas: a naturescore-based study. Int J Environ Res Public Health. (2024) 21:168. doi: 10.3390/ijerph21020168

PubMed Abstract | Crossref Full Text | Google Scholar

96. Keith RJ, Hart JL, Bhatnagar A. Greenspaces and cardiovascular health. Circ Res. (2024) 134:1179–96. doi: 10.1161/CIRCRESAHA.124.323583

PubMed Abstract | Crossref Full Text | Google Scholar

97. Bianconi A, Longo G, Coa AA, Fiore M, Gori D. Impacts of Urban green on cardiovascular and cerebrovascular diseases—a systematic review and meta-analysis. Int J Environ Res Public Health. (2023) 20:5966. doi: 10.3390/ijerph20115966

PubMed Abstract | Crossref Full Text | Google Scholar

98. Peters T, Verderber S. Biophilic design strategies in long-term residential care environments for persons with dementia. J Aging Environ. (2021) 36:1–29. doi: 10.1080/26892618.2021.1918815

Crossref Full Text | Google Scholar

99. Hesam Shariati F, Steffens A, Adhami S. Designing environments that contribute to a reduction in the progression of Parkinson's disease; a literature review. Health Place. (2023) 83:103105. doi: 10.1016/j.healthplace.2023.103105

PubMed Abstract | Crossref Full Text | Google Scholar

100. Ibrahim T, Gabr H, Khodeir L, Aboubakr D. Synergetic approach for biophilic healing interior design for paediatric cancer. J Eng Appl Sci. (2020) 67:1435–53.

Google Scholar

101. Tekin BH, Urbano Gutiérrez R. Human-centred health-care environments: a new framework for biophilic design. Front Med Technol. (2023) 5:1219897. doi: 10.3389/fmedt.2023.1219897

PubMed Abstract | Crossref Full Text | Google Scholar

102. Chiamulera C, Benvegnù G, Piva A, Paolone G. Ecocebo: How the interaction between environment and drug effects may improve pharmacotherapy outcomes. Neurosci Biobehav Rev. (2024) 161:105648. doi: 10.1016/j.neubiorev.2024.105648

PubMed Abstract | Crossref Full Text | Google Scholar

103. Bulaj G, Ahern MM, Kuhn A, Judkins ZS, Bowen RC, Chen Y. Incorporating natural products, pharmaceutical drugs, self-care and digital/mobile health technologies into molecular-behavioral combination therapies for chronic diseases. Curr Clin Pharmacol. (2016) 11:128–45. doi: 10.2174/1574884711666160603012237

PubMed Abstract | Crossref Full Text | Google Scholar

104. Bulaj G, Clark J, Ebrahimi M, Bald E. From precision metapharmacology to patient empowerment: delivery of self-care practices for epilepsy, pain, depression and cancer using digital health technologies. Front Pharmacol. (2021) 12:612602. doi: 10.3389/fphar.2021.612602

PubMed Abstract | Crossref Full Text | Google Scholar

105. Schriewer K, Bulaj G. Music streaming services as adjunct therapies for depression, anxiety, and bipolar symptoms: convergence of digital technologies, mobile apps, emotions, and global mental health. Front Public Health. (2016) 4:217. doi: 10.3389/fpubh.2016.00217

PubMed Abstract | Crossref Full Text | Google Scholar

106. Ashley Verzwyvelt L, McNamara A, Xu X, Stubbins R. Effects of virtual reality v. biophilic environments on pain and distress in oncology patients: a case-crossover pilot study. Sci Rep. (2021) 11:20196. doi: 10.1038/s41598-021-99763-2

PubMed Abstract | Crossref Full Text | Google Scholar

107. Luo W, Chen C, Zhou W, Cao A, Zhu W, Zhou Y, et al. Biophilic virtual reality on children's anxiety and pain during circumcision: a randomized controlled study. J Pediatr Urol. (2023) 19:201–10. doi: 10.1016/j.jpurol.2022.10.023

PubMed Abstract | Crossref Full Text | Google Scholar

108. Yin J, Yuan J, Arfaei N, Catalano PJ, Allen JG, Spengler JD. Effects of biophilic indoor environment on stress and anxiety recovery: a between-subjects experiment in virtual reality. Environ Int. (2020) 136:105427. doi: 10.1016/j.envint.2019.105427

PubMed Abstract | Crossref Full Text | Google Scholar

109. Lee E-J, Park S-J, Choi J-H. Effect of a virtual biophilic residential environment on the perception and responses of seniors. Appl Sci. (2024) 14:11431. doi: 10.3390/app142311431

Crossref Full Text | Google Scholar

110. Lee EJ, Park SJ, A. Framework of smart-home service for elderly's biophilic experience. Sustainability. (2020) 12:8572. doi: 10.3390/su12208572

Crossref Full Text | Google Scholar

111. Lee E-J, Park S-J. A preference-driven smart home service for the elderly's biophilic experience. Sensors. (2021) 21:5108. doi: 10.3390/s21155108

PubMed Abstract | Crossref Full Text | Google Scholar

112. Chrysikou E, Biddulph JP, Loizides F, Savvopoulou E, Rehn-Groenendijk J, Jones N, et al. Creating resilient smart homes with a heart: sustainable, technologically advanced housing across the lifespan and frailty through inclusive design for people and their robots. Sustainability. (2024) 16:5837. doi: 10.3390/su16145837

Crossref Full Text | Google Scholar

113. Cuevas JRG, Rili JKR, Santillan ANG, Agustin VA, Gonzales MGN, Centeno CJ, et al. “Layout loud: an ai-powered augmented reality and mobile application for room interior design and layout optimization.” In: 2024 International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA). Ubud: IEEE (2024). doi: 10.1109/ICICYTA64807.2024.10912928

Crossref Full Text | Google Scholar

114. Zajac JA, Porciuncula F, Cavanaugh JT, McGregor C, Harris BA, Smayda KE, et al. Feasibility and proof-of-concept of delivering an autonomous music-based digital walking intervention to persons with Parkinson's disease in a naturalistic setting. J Parkinsons Dis. (2023) 13:1253–65. doi: 10.3233/JPD-230169

PubMed Abstract | Crossref Full Text | Google Scholar

115. Ottosson J, Lavesson L, Pinzke S, Grahn P. The significance of experiences of nature for people with Parkinson's disease, with special focus on freezing of gait—the necessity for a biophilic environment. A multi-method single subject study. Int J Environ Res Public Health. (2015) 12:7274–99. doi: 10.3390/ijerph120707274

PubMed Abstract | Crossref Full Text | Google Scholar

116. Booher SG. Investigation of Biophilic Interventions to Improve Mood and Behavior of Persons with Dementia. Columbus, OH: The Ohio State University (2020).

Google Scholar

117. Di Lorito C, Bosco A, Rai H, Craven M, McNally D, Todd C, et al. A systematic literature review and meta-analysis on digital health interventions for people living with dementia and Mild Cognitive Impairment. Int J Geriatr Psychiatry. (2022) 37:5730. doi: 10.1002/gps.5730

PubMed Abstract | Crossref Full Text | Google Scholar

118. Park H, Ha J. Effect of digital technology interventions for cognitive function improvement in mild cognitive impairment and dementia: a systematic review and meta-analysis. Res Nurs Health. (2024) 47:409–22. doi: 10.1002/nur.22383

PubMed Abstract | Crossref Full Text | Google Scholar

119. Park JM, Tsai L-H. Innovations in noninvasive sensory stimulation treatments to combat Alzheimer's disease. PLoS Biol. (2025) 23:e3003046. doi: 10.1371/journal.pbio.3003046

PubMed Abstract | Crossref Full Text | Google Scholar

120. Hajós M, Boasso A, Hempel E, Shpokayte M, Konisky A, Seshagiri CV, et al. Safety, tolerability, and efficacy estimate of evoked gamma oscillation in mild to moderate Alzheimer's disease. Front Neurol. (2024) 15:1343588. doi: 10.3389/fneur.2024.1343588

PubMed Abstract | Crossref Full Text | Google Scholar

121. Cheng Z, Minmin Z, Sabran K. Mobile app-based interventions to improve the well-being of people with dementia: a systematic literature review. Assist Technol. (2024) 36:64–74. doi: 10.1080/10400435.2023.2206439

PubMed Abstract | Crossref Full Text | Google Scholar

122. Martin LF, Patwardhan AM, Jain SV, Salloum MM, Freeman J, Khanna R, et al. Evaluation of green light exposure on headache frequency and quality of life in migraine patients: a preliminary one-way cross-over clinical trial. Cephalalgia. (2021) 41:135–47. doi: 10.1177/0333102420956711

PubMed Abstract | Crossref Full Text | Google Scholar

123. Main A, McCartney H, Ibrar M, Muirhead F, Mavroeidi A, Rai HK, et al. Patients' experiences of digital health interventions for the self-management of chronic pain: systematic review and thematic synthesis. J Med Internet Res. (2025) 27:e69100. doi: 10.2196/69100

PubMed Abstract | Crossref Full Text | Google Scholar

124. Kimura LF, Novaes LS, Picolo G, Munhoz CD, Cheung CW, Camarini R. How environmental enrichment balances out neuroinflammation in chronic pain and comorbid depression and anxiety disorders. Br J Pharmacol. (2022) 179:1640–60. doi: 10.1111/bph.15584

PubMed Abstract | Crossref Full Text | Google Scholar

125. Taylor RP. The potential of biophilic fractal designs to promote health and performance: a review of experiments and applications. Sustainability. (2021) 13:823. doi: 10.3390/su13020823

Crossref Full Text | Google Scholar

126. Robles KE, Roberts M, Viengkham C, Smith JH, Rowland C, Moslehi S, et al. Aesthetics and psychological effects of fractal based design. Front Psychol. (2021) 12:699962. doi: 10.3389/fpsyg.2021.699962

PubMed Abstract | Crossref Full Text | Google Scholar

127. Milliken S, Kotzen B, Walimbe S, Coutts C, Beatley T. Biophilic cities and health. Cities Health. (2023) 7:175–88. doi: 10.1080/23748834.2023.2176200

Crossref Full Text | Google Scholar

128. Chum K, Fitzhenry G, Robinson K, Murphy M, Phan D, Alvarez J, et al. Examining community-based housing models to support aging in place: a scoping review. Gerontologist. (2020) 62:e178–e92. doi: 10.1093/geront/gnaa142

PubMed Abstract | Crossref Full Text | Google Scholar

129. Miller E, Burton LO. Redesigning aged care with a biophilic lens: a call to action. Cities Health. (2023) 7:260–72. doi: 10.1080/23748834.2020.1772557

Crossref Full Text | Google Scholar

130. Pandit JA, Pawelek JB, Leff B, Topol EJ. The hospital at home in the USA: current status and future prospects. NPJ Digit Med. (2024) 7:48. doi: 10.1038/s41746-024-01040-9

PubMed Abstract | Crossref Full Text | Google Scholar

131. Whitehead D, Conley J. The next frontier of remote patient monitoring: hospital at home. J Med Internet Res. (2023) 25:e42335. doi: 10.2196/42335

PubMed Abstract | Crossref Full Text | Google Scholar

132. Ryan CO, Browning WD, Walker DB. The Economics of Biophilia: Why Designing With Nature in Mind Makes Financial Sense. 2nd Ed. New York: Terrapin Bright Green (2023).

Google Scholar

133. Jana S. derlund, Peter N. Biophilic architecture: a review of the rationale and outcomes. AIMS Environ Sci. (2015) 2:950–69. doi: 10.3934/environsci.2015.4.950

Crossref Full Text | Google Scholar

Keywords: prescription digital therapeutics, mobile medical app, virtual reality, built environment, household, housing, salutogenic, biophilia

Citation: Bulaj G, Forero M and Huntsman DD (2025) Biophilic design, neuroarchitecture and therapeutic home environments: harnessing medicinal properties of intentionally-designed spaces to enhance digital health outcomes. Front. Med. 12:1610259. doi: 10.3389/fmed.2025.1610259

Received: 11 April 2025; Accepted: 20 June 2025;
Published: 10 July 2025.

Edited by:

Shameer Khader, Sanofi, France

Reviewed by:

Evangelia Chrysikou, The Bartlett School of Sustainable Construction UCL, United Kingdom
Bekir Huseyin Tekin, Sakarya University, Türkiye

Copyright © 2025 Bulaj, Forero and Huntsman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Grzegorz Bulaj, YnVsYWpAcGhhcm0udXRhaC5lZHU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.