PHT180 Healthcare Research

PHT180 Healthcare Research

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Featured Research
Emerging IP and Breakthroughs at PHT180

diagram of the sensors on the toilet seat sending data to a cloud to monitor health
Inconspicuous Daily Medical Analyses

David Borkholder, Principal Investigator

Cardiovascular disease impacts nearly 30% of those over age 65 and is the leading cause of death in the United States. The direct costs of medical care and indirect costs of cardiovascular disease approached $450 billion a year in 2010, and are projected to rise to over $1 trillion a year by 2030. Tracking daily changes in one’s cardiovascular health can be critical in diagnosing and managing cardiovascular diseases, such as heart failure and hypertension. More >

Transmural Electrophysiological Imaging to Guide Catheter Ablation of Arrhythmias Diagram
Transmural Electrophysiological Imaging to Guide Catheter Ablation of Arrhythmias

Linwei Wang, Principal Investigator

Cardiac arrhythmia accounts for increasing risk for all strokes (15%), heart failure, and mortality. The currently used minimally invasive procedure, i.e. catheter ablation, relies on point-by-point contact mapping on the heart surface to construct a 3D map of activation sequence. More >

App Aims to Help Domestic Violence Victims
Avatar Assisted Digitized Platforms to Assess and Treat Addiction and Family Violence

Caroline Easton, Principal Investigator

Addiction and domestic violence are public health concerns that contribute to the burden of disease and psychiatric disorders across the world.  The main goal of this research is to use advancements in evidenced-based care and technology to help reduce addiction and conflict among families where addiction and aggression are prevalent. More >

photo of ipad using a heart rate detection through facial recognition
Video Detection of Cardiac Arrhythmias

Gill Tsouri, Principal Investigator

Facial videoplethysmography provides non-contact measurement of heart activity based on blood volume pulsations detected in facial tissue. Typically, the signal is extracted using a simple webcam followed by elaborated signal processing methods, and provides limited accuracy of time-domain characteristics. More >

In Vitro Cellular Barrier Models
In Vitro Cellular Barrier Models

Tom Gaborski, Principal Investigator

Dr. Gaborski's research group is using ultrathin membranes to enable the development of novel co-culture and barrier models, as well as improved measurement and analysis of real-time barrier function. The ultrathin nature of the membranes not only enables improved physiological processes but also optical, electrical and biochemical analysis of barrier properties. More >

Auditory Dysfunction Therapies
Auditory Dysfunction Therapies

David Borkholder, Principle Investigator

This new therapy is being developed in the mouse model system and uses implantable micropumps and quantitative non-invasive analysis of drug concentrations to advance intracochlear drug delivery for therapy development. More >

Integrating Physical Models into Data-Drive Inference diagram
Integrating Physical Models into Data-Drive Inference

Linwei Wang, Principal Investigator

Scientific research across many domains has been increasingly enabled by paralleled advances in two broad disciplines: computer modeling that supports quantitative, multi-scale, and multi-physics simulation of the behavior and mechanism of complex systems, and modern sensor technologies that continuously improve the quantity and quality of measurement data available for analysis. More >

REU Site: Computational Sensing
REU Site: Computational Sensing

Cecilia Ovesdotter Alm, Principal Investigator,
Reynold Bailey, Co-Investigator

The goal of this Research Experiences for Undergraduates (REU) Site is to give students experience with fundamental research in acquisition and fusion of multisource sensing data related to human beings. More >

Social Media Flowchart which shows how to analyze social communities to better understand them
Social Media – A Remote Sensor Network

Christopher Homan, Principal Investigator

Dr. Homan, an associate professor in Computer Science and a PHT180 leadership team member, is creating a learning framework to detect job-related tweets from individual and business accounts. The framework will be supervised using crowdsourcing feedback and local knowledge. More >

PHT180 Affiliated Awards

​National Institutes of Health

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  • Gill Tsouri, PI | KGCOE - Electrical & Microelectronic Engineering

NIH logoUR Logo

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National Institute for Health Research and ​King's College London
National Science Foundation
New York State Empire Development

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New York State Department of Economic Development and the University of Rochester

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Office of Naval Research and The University of Texas at Austin
Bill and Melinda Gates Foundation
Colgate Palmolive

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Foundation for Women's Wellness

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The Hartwell Foundation / Drexel University
  • Steven Day, PI | KGCOE - Biomedical Engineering

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University of Rochester
Biological Mimetics, Inc

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Enplas America, Inc.
  • Ke Du, PI | KGCOE - Mechanical Engineering

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Integrated Nano-​Technologies, LLC
  • Ke Du, PI | KGCOE - Mechanical Engineering
  • Michael Schrlau, CO-PI | KGCOE - Mechanical Engineering

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Sanatela Medical
  • Ke Du, PI | KGCOE - Mechanical Engineering
  • Stefan Preble, CO-PI | KGCOE - Electrical and Microelectronic Engineering

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