MIT researchers, working with the Answer ALS consortium, identified genomic regions linked to ALS progression rates, potentially leading to targeted treatments.

MIT senior James Simon combines computer science and economics to address global poverty and serves on a Guatemalan charity's board. He excels in sports and community service, planning to work in finance after completing a master's degree.

MIT researchers have released TorNet, an AI dataset with over 200,000 images designed to improve tornado detection by aiding in the development of advanced prediction models.

MIT's William Deringer researches the historical use of data in public debate, from the 17th century UK to modern financial concepts important in climate policy.

MIT's Emerging Talent program offers educational and skill-building opportunities to individuals from unstable regions, nurturing a global community of learners.

Researchers discovered rocks in Greenland that suggest Earth's magnetic field existed 3.7 billion years ago, providing new insights into the planet's early protective shield and core dynamics.

First case of Powassan virus confirmed in Sharon, Massachusetts, with preventive measures advised due to its serious symptoms and potential for fatal outcomes.

The article details how loneliness among young Americans is causing a decline in happiness, with initiatives like BU's NITEO focusing on mental health and relationship-building to combat this issue.

MIT researchers found light can trigger water evaporation, challenging the belief that only heat can. This photomolecular effect has implications for climate science and water treatment technologies.

MIT engineers, with the MIT-IBM Watson AI Lab, created a chip enhancing smartphone security and AI efficiency, ideal for private health apps, protecting against cyberattacks.

MIT senior Olivia Rosenstein combines her cross-country running with experimental physics research, focusing on cold atom studies and aiming for future breakthroughs in the field.

UMass Amherst's Sarah Perry received a $936,000 NIH grant to develop technology for observing proteins in motion, potentially revolutionizing structural biology.

Researchers at MIT and the University of Washington have developed a model that anticipates human errors by considering our decision-making constraints, aiming to improve AI's predictive abilities regarding human behavior.