MIT researchers have created a placebo model that uses environmental cues to reduce pain in mice, by conditioning them to associate a 'pain-relief box' with a lack of pain.

MIT and collaborators introduced ScribblePrompt, an AI tool for faster and more accurate annotation of medical scans, which may enhance medical analysis efficiency.

MIT physicists have observed ultracold atoms emulating an "edge state," which could inform future materials for lossless electricity flow. This research advances our understanding of quantum mechanics.

MIT researchers have developed a new water filtration material that removes PFAS and heavy metals. Made from silk and cellulose, it has antimicrobial properties and could address widespread contamination issues highlighted by a recent study.

A Harvard study showed AI tutors doubled student engagement in a college physics course compared to traditional classes, offering personalized feedback and pacing.

MIT researchers developed an on-chip frequency mixer that operates at petahertz frequencies, enabling new potential in high-speed data processing and transmission.

Harvard researchers developed an AI, CHIEF, with 94% accuracy for cancer diagnosis and outcome prediction, potentially advancing treatment strategies.

MIT chemists suggest atomic interactions protect dinosaur collagen from degradation, potentially solving the mystery of its preservation over millions of years.

MIT Professor David Trumper teaches a mechatronics class focusing on fundamental problem-solving skills, combining theoretical and practical learning.

A recent MIT study found over 70% of AI text datasets lacked licensing information, impacting model transparency and fair application. They introduced a tool to improve dataset transparency.

Harvard-MIT student Sayo Eweje is developing nanoparticle-based delivery systems for RNA and protein therapies, aiming to improve treatments for inherited blood disorders.

MIT researchers have found that different neurons process language on varying timescales, challenging prior beliefs from fMRI studies and potentially impacting treatments for language disorders.

MIT biologist Sebastian Lourido researches the genetics behind Toxoplasma gondii's dormancy and disease activation, seeking new treatments for the latent phase of toxoplasmosis.