Digital Health mobile apps and connected medical devices are rapidly changing how patients learn, monitor, diagnose and treat disease. Even in these early days of the digital transformation of healthcare, connected medical devices and digital services are winning reimbursement as “digiceuticals” by payors and insurers. However, the critical need going forward is how to measure, compare and prove these new tools and digital biomarkers are safe, effective and valuable at scale, not just in the USA but globally, across geographies, cultures and health systems.
Principal Investigator Hadley Sikes
The Future of AI Hardware
Jesús A. del Alamo Donner Professor, MIT Department of Electrical Engineering and Computer Science (EECS)
Polina Golland will discuss her group's research in computational analysis of MRI scans that aims to provide accurate measurements of healthy anatomy and physiology, and biomarkers of pathology. Applications range from fetal development to aging brain.
Single-cell mass as a clinical tool for guiding treatment decisions
Keith Ligon Associate Professor of Pathology at Harvard Medical School Scott Manalis Andrew and Erna Viterbi Professor of Biological Engineering Clifford Reid CEO of Travera
Muriel Médard Cecil H. Green Professor of Electrical Engineering and Computer Science
Michael Short Norman C. Rasmussen Assistant Professor of Nuclear Science and Engineering
Tricia Dinkel Manager of Partnerships & Engagement, MIT Startup Exchange
Panelists: Thomas Lee Professor of Electrical Engineering, Stanford University
Susan Feindt Senior Vice President of Ecosystem Development, Natcast
Jennifer Lloyd Corporate Vice President, Multi-Market Power Business Unit, Analog Devices
Kenneth O Professor of Electrical Engineering, University of Texas, Dallas
Dario Gil Senior Vice President and Director, IBM Research