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Linwei Wang

Researchers at RIT are developing technology that will be able to determine the lifespan of a heart valve with more precision.

Researchers from five colleges at RIT are testing a new way to deliver mental health therapy to people struggling with alcohol/drug addiction and aggressive behavior. RIT is running a randomized clinical trial with the Food and Drug Administration to test the therapy platform “RITchCBT” as a tool for treating people whose substance use disorders have led to intimate partner violence.

Thousands of visitors at the 2023 Imagine RIT: Creativity and Innovation Festival got to see what’s on the horizon in the areas of technology, the arts, and design. Festivalgoers traversed RIT’s campus on Saturday, exploring more than 350 exhibits.

Toilet seats with high-tech sensors might be the non-invasive technology of the future that could help reduce hospital return rates of individuals with heart disease. A joint project by researchers at RIT and the University of Rochester Medical Center will determine if in-home monitoring can successfully record vital signs and reduce risk and costly re-hospitalization rates for people with heart failure. The five-year, $2.9 million venture is funded by the National Institutes of Health.

Associate professor Linwei Wang is leading an international group of researchers and clinicians developing computational systems for creating individualized 3D imaging of a patient’s heart. With these 3D heart models, clinicians now have a noninvasive way to study their patients.

RIT computing professor Linwei Wang, whose research is advancing non-invasive personalized healthcare for heart diseases, is receiving the Presidential Early Career Award for Scientists and Engineers, the highest honor bestowed by the U.S. government on outstanding scientists and engineers who are beginning their independent research careers and show exceptional promise for leadership in science and technology.

A team RIT computing professors are finalists in the National Science Foundation 2026 Idea Machine competition for their proposal on Integrated Human-Machine Intelligence, beating out more than 800 other ideas.