New $500 million biomedical institute, Arena BioWorks, launches in Cambridge with a focus on integrating academic research with commercial drug development.

The study from Brigham and Women's Hospital reports a 23% diagnostic error rate in ICUs nationwide, leading to harm in most cases, and emphasizes the need for systemic changes to prevent such errors.

MIT's ARCLab has released MOCAT, an open-source tool for simulating and predicting space debris paths, aimed at helping satellite operators and policymakers address space sustainability.

UMass Amherst researchers received a grant to develop deep-learning models using clinical MRIs to predict Alzheimer's disease at least two years prior to symptom onset.

MIT's Electric Vehicle Team has developed a hydrogen fuel cell-powered electric motorcycle, aiming to innovate and promote small hydrogen systems' infrastructure and applications.

A study by UMass Amherst found that Americans prefer saltier food, resulting in a lower-than-expected 5% reduction in sodium intake despite a health initiative aimed at a 20% cut.

MIT's Improbable AI Lab introduced a new AI framework to help robots plan and execute complex tasks using separate models for language, vision, and action.

Boston experiences a COVID-19 surge with high virus levels in wastewater, putting a strain on healthcare and leading to revised mask policies at hospitals.

A Harvard study in JAMA Network Open suggests plant-based low-carb diets are better at curbing long-term weight gain than animal-based low-carb diets.

MIT researchers discovered that nonchiral liquid crystals can spontaneously form chiral structures when they flow, potentially leading to novel material designs.

Researchers at Harvard SEAS and Boston University developed a soft robotic exosuit aimed at improving mobility for Parkinson's disease patients by reducing gait freezing.

MIT researchers identify six systemic factors causing medical lab errors by applying aerospace engineering principles, a study that could improve patient safety.

MIT researchers have developed inhalable nanoparticle sensors for early lung cancer detection, using a urine test for results, offering a less invasive alternative to CT scans.