In the evolving healthcare landscape, precision nutrition and medicine offer a transformative potential in disease prevention and treatment through tailored therapeutic strategies based on individual variability. This article collection seeks groundbreaking research that utilizes AI and machine learning (ML) approaches to integrate diverse data sources, and advance innovations in precision nutrition and medicine.
We encourage submission of clinical and translational studies on precision nutrition/medicine as well as mixed approach or qualitative studies focusing on the experience of healthcare providers or patients with this precision treatment methodology.
The aim of this Research Topic is to disseminate cutting edge research in the field of precision nutrition, from a mechanistic perspective to its intended application. The audience for this Research Topic is intended to be broad, ranging from physicians, epidemiologists, nutritionists, dieticians, biochemists, and immunologists to physiologists, geneticists and policy makers.
We welcome original research articles, reviews, mini-reviews, and perspectives on themes including, but not limited to:
- Nutritional intervention for direct physiological benefits (health maintenance) or for chronic disease management such as diabetes, hypertension, etc.
- Dietary interventions for specific metabolic reprogramming – experimental clinical and point of care studies
- Molecular understanding of precision nutrition
- Untargeted high throughput and omics approaches for precision nutrition
- Biomarker research in understanding precision nutrition
- Role of digital health in the advancements of precision nutrition: Utility of wearables, sensors and mHealth apps
- Impact of precision medicine and nutrition on the development of treatment strategies
In the evolving healthcare landscape, precision nutrition and medicine offer a transformative potential in disease prevention and treatment through tailored therapeutic strategies based on individual variability. This article collection seeks groundbreaking research that utilizes AI and machine learning (ML) approaches to integrate diverse data sources, and advance innovations in precision nutrition and medicine.
We encourage submission of clinical and translational studies on precision nutrition/medicine as well as mixed approach or qualitative studies focusing on the experience of healthcare providers or patients with this precision treatment methodology.
The aim of this Research Topic is to disseminate cutting edge research in the field of precision nutrition, from a mechanistic perspective to its intended application. The audience for this Research Topic is intended to be broad, ranging from physicians, epidemiologists, nutritionists, dieticians, biochemists, and immunologists to physiologists, geneticists and policy makers.
We welcome original research articles, reviews, mini-reviews, and perspectives on themes including, but not limited to:
- Nutritional intervention for direct physiological benefits (health maintenance) or for chronic disease management such as diabetes, hypertension, etc.
- Dietary interventions for specific metabolic reprogramming – experimental clinical and point of care studies
- Molecular understanding of precision nutrition
- Untargeted high throughput and omics approaches for precision nutrition
- Biomarker research in understanding precision nutrition
- Role of digital health in the advancements of precision nutrition: Utility of wearables, sensors and mHealth apps
- Impact of precision medicine and nutrition on the development of treatment strategies