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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The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
Ashutosh Kumar, a materials science and engineering PhD student and MathWorks Fellow, applies his eclectic skills to studying the relationship between bacteria and cancer.
Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.
For a small percentage of cancer patients, doctors are unable to determine where their cancer originated. This makes it much more difficult to choose a treatment for those patients, because…