Cancer
Cancer

Cancer

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.

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From steel engineering to ovarian tumor research

Ashutosh Kumar, a materials science and engineering PhD student and MathWorks Fellow, applies his eclectic skills to studying the relationship between bacteria and 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.

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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.