Women-Specific AI Biomarkers

AI4WOMEN

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

01

Mission

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

02

Research Team

Principal Investigator

Junhao (Hao) Wen, PhD

Columbia Radiology/CS/BME & New York Genome Center & UPenn AI2D Center

Lead PI

Collaborators

Susan Resnick, PhD

Former Chief & Special Volunteer (Retired), Laboratory of Behavioral Neuroscience, National Institute on Aging

Mentor in Women's Health

Catherine Monk, PhD

Director, Columbia's Women’s Mental Health Division

Co-Investigator

Marie-Pierre St-Onge, PhD

Director, Columbia's Center of Excellence for Sleep & Circadian Research

Co-Investigator

Director, Columbia's Sleep Surgery

Co-Investigator

Hediyeh Baradaran, MD

Chief, Columbia Radiology's Division of Neuroradiology

Co-Investigator

Yian Gu, MD, PhD

Associate Professor, Columbia's Neurology Department

Co-Investigator

Assistant Professor, Columbia's Biostatistics Department

Co-Investigator

Trainees

Cliodhna Kate O'Toole, MS

Columbia's BME Department

PhD candidate

Columbia's BME Department

Incoming PhD candidate

Qiangqiang Wu, PhD

Columbia's Radiology

Postdoc

Advisory Committee

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