Disease
Disease

Disease

Algorithms Artificial Intelligence Biology Cells Collaboration Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Electrical engineering and computer science (EECS) Health sciences and technology machine learning MIT Schwarzman College of Computing Proteins Research School of Engineering School of Science Whitehead Institute

AI model deciphers the code in proteins that tells them where to go

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Disease Drug discovery Electrical engineering and computer science (EECS) Jameel Clinic Mathematics Research School of Engineering School of Science Viruses

A new computational model can predict antibody structures more accurately

Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.

Artificial Intelligence Broad Institute Cancer Computer science and technology Diagnostics Disease Electrical Engineering & Computer Science (eecs) health Health Care IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Institutes of Health (NIH) Research School of Engineering

AI model identifies certain breast tumor stages likely to progress to invasive cancer

The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

Alzheimer's Artificial Intelligence Behavior Biology Brain and cognitive sciences Depression Digital technology Disease health Health Care Health sciences and technology machine learning McGovern Institute Mental health Mobile devices Neuroscience Office of Open Learning Parkinson's Pharmaceuticals School of Science Special events and guest speakers

Symposium highlights scale of mental health crisis and novel methods of diagnosis and treatment

Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.