UVM Receives Historic Contract to Develop Medical Digital Twins

UVM AI 'digital twin' project wins $38M for ICU research

Could digital twins test medical treatments for critically ill patients?

Every day, clinicians in ICUs make high-stakes decisions about medical treatments that keep their patients alive. Variables like unusual immune responses can make that job more complicated. But now, a project led by the University of Vermont’s Larner College of Medicine aims to find out if digital twins can help. The university has been awarded up to $38 million in funding from the Advanced Research Projects Agency for Health, which is part of t…

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.

UVM receives historic contract to develop medical digital twins

What if doctors could test a customized treatment on a virtual version of a critically ill patient before administering it in real life? That's the promise of medical "digital twins."

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 […]