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Study finds the risks of sharing health care data are low

Greater availability of de-identified patient health data would enable better treatments and diagnostics, researchers say, including at IMES, say. In recent years, scientists have made great strides in their ability to develop artificial intelligence algorithms that can analyze patient data and come up with new ways to diagnose disease or…

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Analyzing the potential of AlphaFold in drug discovery

Study, by MIT researchers, including at IMES, finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action. Over the past few decades, very few new antibiotics have been developed, largely because current methods for screening potential drugs are prohibitively expensive and time-consuming….

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Race-detecting AI

Researchers, including some affiliated with IMES, trained an algorithm to identify people’s self-reported race from medical images, but they are mystified as to how it works. Doctors can’t tell a person’s race from medical images such as x-rays and CT scans. But a team including MIT researchers was able to…

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Teaching AI to ask clinical questions

Researchers, including those affiliated with IMES, have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record. Physicians often query a patient’s electronic health record for information that helps them make treatment decisions, but the cumbersome nature of these records hampers the…

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Design prevents buildup of scar tissue around medical implants

A new device, which doesn’t rely on immunosuppressing drugs, may assist efforts to develop an artificial pancreas to treat diabetes. Implantable devices that release insulin into the body hold promise as an alternative way to treat diabetes without insulin injections or cannula insertions. However, one obstacle that has prevented their…

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