CAREER Award Supports Research to Deepen Understanding of Osteoarthritis

TROY, N.Y. — Osteoarthritis is the most common type of arthritis, affecting more than 32.5 million adults in the United States. The key to preventing or even reversing its painful and debilitating effects may be uncovered through a better understanding of the biomechanics that influence a specific molecular component that is central to the body’s joints.

Environment-Friendly Compound Shows Promise for Solar Cell Use

TROY, N.Y. — A widespread transition to solar energy will depend heavily on reliable, safe, and affordable technology like batteries for energy storage and solar cells for energy conversion. At Rensselaer Polytechnic Institute, researchers are focused heavily on both parts of that equation.

Unique System for Using UVC Light to Sterilize Masks in Bulk Developed at Rensselaer

TROY, N.Y. — The shortage of critical personal protective equipment (PPE) has been a persistent problem for medical and other front-line workers as they battle the COVID-19 pandemic at close range day after day. A team of researchers at Rensselaer Polytechnic Institute has developed a potential solution: a machine that uses ultraviolet (UVC) light to sterilize thousands of protective masks each day, rendering them safe for reuse.

New Findings and Approaches Emerge from Remote Investigation

TROY, N.Y. — On a typical April day, Jackie Pelham would spend most of her time in a lab coat and goggles. Working at a laboratory bench, she would examine proteins found in the body. But lately, Pelham has traded her lab coat for a laptop and her lab bench for a desk in her home. Rather than observing biochemical processes, she is poring over previously collected data. Somewhat unexpectedly, even to her, Pelham sees this temporary trade-off as an opportunity.

Machine Learning Models Predict COVID-19 Impact in Smaller Cities

Rensselaer Polytechnic Institute researcher Malik Magdon-Ismail tailored the robust machine learning models he is developing for the COVID pandemic to work with sparse data points, like those available during the early phase in a pandemic or in smaller cities, which ordinarily make trend-spotting difficult.

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