Personalized Healthcare Technology

Personalized Healthcare Technology integrates interdisciplinary research to tackle problems in unconventional ways, creating a new future in healthcare delivery and individually empowered health.


Estimated medical costs for cardiovascular disease by 2030


Colleges at RIT involved in personalized health care technology research


Combined years of experience in academia among six faculty mentors

Key Faculty

Linwei Wang
Department of Computing and Information Sciences Ph.D.

Director, Personalized Health Care Technology

Adam Smith
Associate Professor
School of Design
David Borkholder
Department of Electrical and Microelectronic Engineering
Christopher Homan
Associate Professor
Department of Computer Science
Andre Hudson
Dean, College of Science
Dean’s Office
Cecilia Alm
Department of Psychology
Dan Phillips
Associate Professor
Department of Electrical and Microelectronic Engineering
Karin Wuertz-Kozak
Department of Biomedical Engineering

View full list of affiliated faculty

Related News

  • January 30, 2024

    a microfluidic device used for data storage on DNA is sitting on a blue glove covered hand.

    Researcher bridges biology and computing with processing in DNA storage

    An engineering researcher at RIT has discovered the means to process data using DNA. Amlan Ganguly, computer engineering department head in RIT’s Kate Gleason College of Engineering, and researchers at the University of Minnesota, designed a microfluidic integrated circuit to perform complex operations through artificial neural network computations on data stored in DNA.

  • December 20, 2023

    two college students and a professor test cell movement on a tiny scissor lift in a lab.

    RIT researchers develop new technique to study how cancer cells move

    In tumors, cells follow microscopic fibers, comparable to following roads through a city. Researchers at Rochester Institute of Technology developed a new technique to study different features of these “fiber highways” to provide new insights into how cells move efficiently through the tumor environment.