The downside of machine learning in health care
Assistant Professor Marzyeh Ghassemi, an IMES faculty member, explores how hidden biases in medical data could compromise artificial intelligence approaches. While working toward her dissertation in computer science at MIT, Marzyeh Ghassemi, wrote several papers on how machine-learning techniques from artificial intelligence could be applied to clinical data in order…
Read MoreWhen should someone trust an AI assistant’s predictions?
Researchers, including at IMES, have created a method to help workers collaborate with artificial intelligence systems. In a busy hospital, a radiologist is using an artificial intelligence system to help her diagnose medical conditions based on patients’ X-ray images. Using the AI system can help her make faster diagnoses, but…
Read MoreThree with MIT ties, including an HST student, win 2022 Churchill Scholarships
HST student James Diao, and seniors David Darrow and Tara Venkatadri, will pursue master’s programs at Cambridge University. MIT seniors David Darrow and Tara Venkatadri have been selected as 2022 Churchill Scholars and will embark on a year of graduate studies in the U.K. starting next fall. James Diao, a…
Read MoreEvery Pore on Your Face Is a Walled Garden
A close examination of human skin found that each pore had a single variety of bacteria living inside. A study co-authored by MIT researchers—including Tami Lieberman, a core member of the IMES Faculty— finds each pore on the human face holds a different variety of Cutibacterium acnes bacteria. “Each person’s…
Read MoreMeasuring cancer cell state can reveal drug susceptibility
The results of a study by researchers, including at IMES, also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment. Over the past few decades, scientists have made great strides in understanding the genetic mutations that can drive cancer. For some types…
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