UVM Rewarded $38M for AI Tool Aimed at Improving Critical Care
The five-year project will build AI digital twins to predict immune response and test treatments for critically ill patients.
4 Articles
4 Articles
UVM rewarded $38M for AI tool aimed at improving critical care
ReSCUED is a new UVM-led research project aimed at patients in the intensive care unit. Researchers will use artificial intelligence to create what they call a "digital twin" of a patient's immune system.
UVM awarded record $38M to create ‘AI twin’ of sick patients
Researchers received the federal award to hone an artificial intelligence model designed to shorten patient stays in intensive care. The AI is designed to mimic patients and recommend treatments. Read the story on VTDigger here: UVM awarded record $38M to create ‘AI twin’ of sick patients.
Could an AI ‘digital twin’ help doctors choose the best treatment for ICU patients?
Researchers in the United States are developing artificial intelligence-powered “digital twins” of critically ill patients that could eventually allow doctors to test potential treatments virtually before administering them to the patient. The University of Vermont is leading the ambitious project after receiving a research and development award worth up to US$38 million from the Advanced […]
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