esearchers at Purdue University have developed a computational solution to this problem named NuFold, which will model 3D RNA structures that could expedite medical discovery decades ahead of schedule. The research team, led by Daisuke Kihara, professor of biological sciences and computer science in the Purdue College of Science, published their findings in Nature Communications.

A new artificial intelligence model measures how fast a patient’s brain is aging and could be a powerful new tool for understanding, preventing and treating cognitive decline and dementia, according to USC researchers.

CABBI researchers have developed a biorefinery process that recovers the high-value products present in oilcane bagasse, meaning that multiple product streams can be generated from this single feedstock. This work could assist in providing a sustainable source of energy to meet societal needs, while also generating additional streams of revenue in the form of co-products.

In a new study, Northwestern University researchers demonstrated that brewing tea naturally adsorbs heavy metals like lead and cadmium, effectively filtering dangerous contaminants out of drinks. Researchers tested different types of tea, tea bags and brewing methods. Finely ground black tea leaves performed best at removing toxic heavy metals. Longer steeping times helped tea remove larger amounts of contaminants.

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the Tufts University School of Engineering and leading medical institutions in Ghana, has yielded positive results in tests with patients at high risk for heart attack or stroke. 

Over the course of eight weeks, the participants’ average blood pressure readings decreased from 139/87 mmHG to a more manageable 126/83 mmHg. 

Ebru Demir, an assistant professor of mechanical engineering and mechanics in Lehigh University’s P.C. Rossin College of Engineering and Applied Science, recently received funding through the National Science Foundation’s Faculty Early Career Development (CAREER) Program for her research combining artificial microswimmers with machine learning to build Smart Artificial Microswimmers (SAMs). By embedding AI into centimeter-scale robotic swimmers and comparing their behavior with predictions from simulations, her project aims to uncover the underlying physics that govern their movement in complex fluid environments.