The intersection of aging and neurological disorders forms a complex and dynamic landscape for researchers and clinicians. With the global population aging, the prevalence of cognitive decline, gait slowness, and falls associated with neurological disorders such as Alzheimer's and Parkinson's is increasing. These conditions impact not only daily activities and behaviors but also physical health. This special issue is dedicated to investigating innovative methods for understanding and managing these intricate interactions, utilizing the perspectives offered by cutting-edge sensing technologies and artificial intelligence (AI).
The scope of this special issue is multidisciplinary, encompassing contributions from the fields of gerontology, neurology, biomedical engineering, data science, and AI. We welcome original research, reviews, and methodological articles that address the following themes:
1. Novel Sensing Technologies: Articles that introduce and evaluate new wearable or non-wearable sensors for monitoring physical activities, behavioral patterns, and symptoms in aging and neurological disorders.
2. Data Acquisition and Integration: Studies that focus on the collection, processing, and integration of multimodal data sets to enhance the understanding of aging and neurological disorders.
3. Machine Learning and AI Algorithms: Contributions that develop and apply machine learning and AI algorithms to model and predict physical and behavioral changes associated with aging and neurological disorders.
4. Personalized Medicine and Intervention: Research that utilizes AI and novel sensing to tailor interventions and treatments to individual patients, improving outcomes and quality of life.
5. Ethical and Societal Implications: Discussions on the ethical considerations and societal impacts of using AI and novel sensing in the context of aging and neurological disorders.
6. Clinical Trials and Real-World Applications: Reports on clinical trials and real-world applications of AI and novel sensing technologies, highlighting their effectiveness, challenges, and future potential.
7. Cross-Disciplinary Collaborations: We encourage submissions that showcase collaborative efforts between different disciplines to address the challenges of aging and neurological disorders.
The integration of novel sensing technologies with AI has the potential to revolutionize the way we study, diagnose, and manage aging and neurological disorders. By providing a platform for researchers to share their latest findings and methodologies, this special issue aims to foster a deeper understanding of the underlying mechanisms and to develop more effective strategies for intervention.
Dr. Xiangmin Fan’s second affiliation is Beijing CAS-Ruiyi MedTech Co., Ltd. The remaining topic editors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The intersection of aging and neurological disorders forms a complex and dynamic landscape for researchers and clinicians. With the global population aging, the prevalence of cognitive decline, gait slowness, and falls associated with neurological disorders such as Alzheimer's and Parkinson's is increasing. These conditions impact not only daily activities and behaviors but also physical health. This special issue is dedicated to investigating innovative methods for understanding and managing these intricate interactions, utilizing the perspectives offered by cutting-edge sensing technologies and artificial intelligence (AI).
The scope of this special issue is multidisciplinary, encompassing contributions from the fields of gerontology, neurology, biomedical engineering, data science, and AI. We welcome original research, reviews, and methodological articles that address the following themes:
1. Novel Sensing Technologies: Articles that introduce and evaluate new wearable or non-wearable sensors for monitoring physical activities, behavioral patterns, and symptoms in aging and neurological disorders.
2. Data Acquisition and Integration: Studies that focus on the collection, processing, and integration of multimodal data sets to enhance the understanding of aging and neurological disorders.
3. Machine Learning and AI Algorithms: Contributions that develop and apply machine learning and AI algorithms to model and predict physical and behavioral changes associated with aging and neurological disorders.
4. Personalized Medicine and Intervention: Research that utilizes AI and novel sensing to tailor interventions and treatments to individual patients, improving outcomes and quality of life.
5. Ethical and Societal Implications: Discussions on the ethical considerations and societal impacts of using AI and novel sensing in the context of aging and neurological disorders.
6. Clinical Trials and Real-World Applications: Reports on clinical trials and real-world applications of AI and novel sensing technologies, highlighting their effectiveness, challenges, and future potential.
7. Cross-Disciplinary Collaborations: We encourage submissions that showcase collaborative efforts between different disciplines to address the challenges of aging and neurological disorders.
The integration of novel sensing technologies with AI has the potential to revolutionize the way we study, diagnose, and manage aging and neurological disorders. By providing a platform for researchers to share their latest findings and methodologies, this special issue aims to foster a deeper understanding of the underlying mechanisms and to develop more effective strategies for intervention.
Dr. Xiangmin Fan’s second affiliation is Beijing CAS-Ruiyi MedTech Co., Ltd. The remaining topic editors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.