Research by MIT and the University of Chicago suggests meteorite impacts are the primary factor in forming the Moon's atmosphere, with study results showing a 70:30 impact vaporization to solar wind contribution ratio.

MIT researchers found human activities significantly contribute to rising ozone levels in the upper troposphere, analyzing satellite data from 2005-2021.

MIT and international physicists studied excitons in ultrathin materials, offering insights with implications for electronic devices and quantum computing.

The article discusses gender and sex differences in brain development and their health impacts, highlighting clinical neuroscientist Jill Goldstein's perspective on sex-specific brain traits and their role in personalized medicine.

MIT researchers created a new method for blood pressure management in critical settings, improving insight into cardiovascular states during surgeries and intensive care.

MIT startup Striv developed a shoe sole that records biomechanical data to optimize athletes’ performance and prevent injuries, with potential use in the Paris 2024 Olympics.

MIT spinout Arnasi Group is now applying their non-stick technology, formerly used for ketchup bottles, to medical applications, starting with a product to assist ostomy patients.

MIT scientists have created a high-speed, durable, and energy-efficient transistor using a unique ultrathin ferroelectric material that could transform electronics.

Steward Health Care to close Carney Hospital and Nashoba Valley Medical Center by August 31, amid bankruptcy and lack of bids, provoking local discontent and potential legal issues.

MIT engineers developed a clean hydrogen fuel production method using treated aluminum cans and seawater, with caffeine speeding up the process. This could revolutionize sustainable energy in maritime applications.

MIT engineers have identified material traits to increase the efficiency of green tech such as fuel cells and electrolyzers, with potential energy and computing applications.

MIT researchers have found that large language models (LLMs) don't always align with human expectations, highlighting gaps in our ability to predict when they'll succeed or fail.

MIT and ETH Zurich researchers created an AI to identify breast tumor stages, which could reduce overtreatment of DCIS. The model, detailed in Nature Communications, analyzes cell patterns in tissue images.