Cancer
Cancer

Cancer

Artificial Intelligence Awards, honors and fellowships Biological engineering Biology Cancer Chemical engineering Electrical Engineering & Computer Science (eecs) Faculty Funding Grants Immunology Jameel Clinic Koch Institute machine learning Research School of Engineering School of Science

Five MIT faculty members take on Cancer Grand Challenges

Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.

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.

Alzheimer's Artificial Intelligence Autism Awards, honors and fellowships Bioengineering and biotechnology Biological engineering Cancer Chemical engineering Civil and environmental engineering Data DMSE Drug development Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Harvard-MIT Health Sciences and Technology Health sciences and technology Imaging Jameel Clinic machine learning Mechanical engineering Parkinson's Pharmaceuticals Research School of Engineering Students Wearable sensors

2023-24 Takeda Fellows: Advancing research at the intersection of AI and health

Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.

Artificial Intelligence Cancer Computer Science and Artificial Intelligence Laboratory (CSAIL) machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering Technology and society

AI model can help determine where a patient’s cancer arose

Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.