A new computational technique could make it easier to engineer useful proteins
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.
Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.
A new study finds that language regions in the left hemisphere light up when reading uncommon sentences, while straightforward sentences elicit little response.
These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.
Using generative AI, MIT chemists created a model that can predict the structures formed when a chemical reaction reaches its point of no return.
Study shows computational models trained to perform auditory tasks display an internal organization similar to that of the human auditory cortex.
Two studies find “self-supervised” models, which learn about their environment from unlabeled data, can show activity patterns similar to those of the mammalian brain.
Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.