Diagnostics
Diagnostics

Diagnostics

Artificial Intelligence Biological engineering Biology Broad Institute Cells Computer science and technology Department of Energy (DoE) Diagnostics Disease DNA Electrical engineering and computer science (EECS) health Health Care IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) National Science Foundation (NSF) Pharmaceuticals Proteins Research School of Engineering

With AI, researchers predict the location of virtually any protein within a human cell

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Diagnostics Electrical engineering and computer science (EECS) health Health Care Human-computer interaction Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Technology and society

Study shows vision-language models can’t handle queries with negation words

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

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.

Algorithms Artificial Intelligence Cancer Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Diagnostics Electrical Engineering & Computer Science (eecs) Health sciences and technology machine learning Medicine MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Technology and society

New hope for early pancreatic cancer intervention via AI-based risk prediction

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.