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AI model recognizes specific stages of breast tumor that may evolve into aggressive 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, UncategorizedJuly 24, 202437Views0Likes0Comments

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The AI model is capable of recognizing specific stages of breast tumors that have a high probability of developing into invasive 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, UncategorizedJuly 23, 202437Views0Likes0Comments
Ductal carcinoma in situ (DCIS), a type of tumor that can develop into an aggressive form of breast cancer, accounts for approximately 25% of all breast cancer diagnoses. DCIS can be challenging for clinicians to accurately categorize, leading to frequent overtreatment for patients. A team of researchers from the Massachusetts Institute of Technology (MIT) and…

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AI-based risk prediction provides fresh optimism for timely intervention in pancreatic cancer.

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, UncategorizedMarch 7, 202439Views0Likes0Comments
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) scientists, in collaboration with Limor Appelbaum, a scientist in the Department of Radiation Oncology at Beth Israel Deaconess Medical Center (BIDMC), have developed two machine-learning models for the early detection of pancreatic cancer. The two models PRISM and the logistic regression model both surpassed current diagnostic methods.…

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