Kexin Cha

Achieving inclusive healthcare through integrating education and research with AI and personalized curricula

Amir Hossein Alizadeh Bahmani, Kexin Cha, Arash Alavi, Amit Rai Dixit et autres

Precision medicine promises significant health benefits but faces challenges such as complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of computational experts, engineers, designers, and healthcare professionals to develop …

us (code pays fourni par la source)

Harnessing Large Language Models to Uncover Insights in Diabetes Wearable Data

Arash Alavi, Kexin Cha, Delara P Esfarjani, Bhavesh J. Patel et autres

us (code pays fourni par la source)

Achieving Inclusive Healthcare through Integrating Education and Research with AI and Personalized Curricula

Amir Hossein Alizadeh Bahmani, Kexin Cha, Arash Alavi, Amit Rai Dixit et autres

Background: Precision medicine promises significant health benefits but faces challenges such as complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of computational experts, engineers, designers, and healthcare professionals to …

us (code pays fourni par la source)

Perspective on Harnessing Large Language Models to Uncover Insights in Diabetes Wearable Data

Arash Alavi, Kexin Cha, Delara P Esfarjani, Bhavesh J. Patel et autres

Abstract Large Language Models (LLMs) have gained significant attention and are increasingly used by researchers. Concurrently, publicly accessible datasets containing individual-level health information are becoming more available. Some of these datasets, such as the recently released Artificial Intelligence Ready and Equitable Atlas …

us (code pays fourni par la source)

Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease

Xin Yi Zhou, Xiaotao Shen, Jethro S. Johnson, Daniel J. Spakowicz et autres

To understand the dynamic interplay between the human microbiome and host during health and disease, we analyzed the microbial composition, temporal dynamics, and associations with host multi-omics, immune, and clinical markers of microbiomes from four body sites in 86 participants over 6 …

us, gb, cn, hr, co (code pays fourni par la source)

Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease

Xin Yi Zhou, Xiaotao Shen, Jethro S. Johnson, Daniel J. Spakowicz et autres

To understand dynamic interplay between the human microbiome and host during health and disease, we analyzed the microbial composition, temporal dynamics, and associations with host multi-omics, immune and clinical markers of microbiomes from four body sites in 86 participants over six years. …

us, gb, cn, co (code pays fourni par la source)

Real-time alerting system for COVID-19 and other stress events using wearable data

Arash Alavi, Gireesh K. Bogu, Meng Wang, Ekanath Srihari Rangan et autres

Early detection of infectious diseases is crucial for reducing transmission and facilitating early intervention. In this study, we built a real-time smartwatch-based alerting system that detects aberrant physiological and activity signals (heart rates and steps) associated with the onset of early infection …

us (code pays fourni par la source)

A scalable, secure, and interoperable platform for deep data-driven health management

Amir Hossein Alizadeh Bahmani, Arash Alavi, Thore Buergel, Sushil Upadhyayula et autres

The large amount of biomedical data derived from wearable sensors, electronic health records, and molecular profiling (e.g., genomics data) is rapidly transforming our healthcare systems. The increasing scale and scope of biomedical data not only is generating enormous opportunities for improving health …

us (code pays fourni par la source)

Real-time Alerting System for COVID-19 Using Wearable Data

Arash Alavi, Gireesh K. Bogu, Meng Wang, Ekanath Srihari Rangan et autres

Early detection of infectious disease is crucial for reducing transmission and facilitating early intervention. We built a real-time smartwatch-based alerting system for the detection of aberrant physiological and activity signals (e.g. resting heart rate, steps) associated with early infection onset at the …

us (code pays fourni par la source)