By DoM Communications and Patrick Sargent | Date published: December 1, 2025
Members of the Department of Medicine Recognized at Massachusetts eHealth Institute (MeHI) Fall Digital Health Networking Event
UMass Chan Medical School hosted the Massachusetts eHealth Institute (MeHI) Fall Digital Health Networking Event on Thursday, November 13, 2025, in the Cube inside the Albert Sherman Center. The networking event featured opening remarks from Chancellor Michael F. Collins and Carolyn A. Kirk, Chief Executive Officer of the Massachusetts Technology Collaborative.
Nathaniel Hafer, PhD, associate professor of molecular medicine, led the event and introduced a five-member panel that included three UMass Chan faculty members: Anna Whelan, MD, assistant professor of obstetrics & gynecology; Martha Zimmermann, PhD, assistant professor of psychiatry & behavioral sciences; and Daniel Amante, PhD, MPH, assistant professor of population & quantitative health sciences.
The event celebrated the partnerships between UMass Chan faculty and startup digital health companies Candlelit Care, Greens Health and myBiometry; and their accomplishments in the MeHI 2025 Advancing Health Equity in Massachusetts (AHEM) Challenge. Each team is working to develop and advance technology to address maternal health, asthma, COPD, and other health issues impacting underserved communities. They received between $50,000 and $100,000 to help complete their projects.
Apurv Soni, MD, PhD’21, assistant professor of medicine and co-director of the Program in Digital Medicine at UMass Chan, is teaming up with Community Care Cooperative to pilot myBiometry’s respiratory health platform that uses predictive insights to detect early asthma and COPD deterioration.
Drs. Whelan and Zimmerman are working with Candlelit Care to develop a mental health screening and treatment platform that improves early intervention for perinatal mood and anxiety disorders, with a focus on Black maternal health. Dr. Amante and Jamie Faro, PhD, assistant professor of population & quantitative health science, are working with Greens Health to develop its AI-driven diabetes management solution focused on serving underserved communities through culturally tailored education and monitoring.