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Seeking the cellular mechanisms of disease, with help from machine learning

Credits: Image: Adam Glanzman Next image Caroline Uhler’s research blends machine learning and statistics with biology to better understand gene regulation, health, and disease. Despite this lofty mission, Uhler remains dedicated to her original career passion: teaching. “The students at MIT are amazing,” says Uhler. “That’s what makes it so fun to work here.” Uhler recently received tenure in the Department of Electrical Engineering and Computer Science. She is also an associate member of the Broad Institute of MIT and Harvard, and a researcher at the MIT Institute for Data, Systems, and Society, and the Laboratory for Information and Decision Systems.

How an Aggressive Form of Prostate Cancer Flips the Switch on Therapy

How an Aggressive Form of Prostate Cancer Flips the Switch on Therapy Source: Steve Gschmeissner/Science Photo Library/Getty Images January 6, 2021 Share Neuroendocrine prostate cancer (NEPC) is a high-risk, lethal subset of disease, that may arise de novo or in patients previously treated with hormonal therapies for prostate adenocarcinoma as a mechanism of resistance. However, the clinical features of NEPC are poorly defined. Now, researchers from the Flinders Health and Medical Research Institute in South Australia report they have identified a new mechanism in which prostate cancer cells can “switch” character and become resistant to therapy. Their findings are published in

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