Women-Specific AI Biomarkers

AI4WomenALZ

AI for Women's Health for biological aging clock and disease subtype discovery through multi-organ, multi-omics biomedical data analysis.

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Mission

This portal serves as a public resource for disseminating scientific findings on women-specific AI biomarkers in aging and Alzheimer's disease. Our research encompasses biological aging clock, disease subtype discovery, and foundation models, leveraging large-scale multi-organ, multi-omics biomedical data to advance precision medicine for Women's Health.

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Research Team

Principal Investigator
Junhao Wen
Junhao (Hao) Wen, PhD
Columbia Radiology/CS/BME & New York Genome Center & UPenn AI2D Center
Lead PI
Collaborators
Susan Resnick, PhD
Susan Resnick, PhD
Former Chief & Special Volunteer (Retired), Laboratory of Behavioral Neuroscience, National Institute on Aging
Mentor in Women's Health
Catherine Monk, PhD
Catherine Monk, PhD
Director, Columbia's Women’s Mental Health Division
Co-Investigator
Marie-Pierre St-Onge, PhD
Marie-Pierre St-Onge, PhD
Director, Columbia's Center of Excellence for Sleep & Circadian Research
Co-Investigator
Yi Cai, MD
Yi Cai, MD
Director, Columbia's Sleep Surgery
Co-Investigator
Hediyeh Baradaran, MD, MS
Hediyeh Baradaran, MD
Chief, Columbia Radiology's Division of Neuroradiology
Co-Investigator
Yian Gu, MD, MS, PhD
Yian Gu, MD, PhD
Associate Professor, Columbia's Neurology Department
Co-Investigator
Xin Ma
Xin Ma, PhD
Assistant Professor, Columbia's Biostatistics Department
Co-Investigator
Trainees
Cliodhna Kate O'Toole
Cliodhna Kate O'Toole, MS
Columbia's BME
PhD candidate
Ying Chen
Ying Chen, MS
Columbia's BME
PhD candidate
Advisory Committee
Susan Resnick, PhD
Susan Resnick, PhD
Former Chief & Special Volunteer (Retired), Laboratory of Behavioral Neuroscience, National Institute on Aging
Mentor in Women's Health
Human anatomy — multi-organ biomedical research

Multi-organ, multi-omics approach to women's health research