University of Vermont is Developing an AI Twin for Critically Ill Patients

The University of Vermont has received a record research funding of up to $38 million for an AI twin project that will model the immune system of patients with severe burns and infections, allowing doctors to test the most appropriate treatments in advance.

Details of the Record Funding

The University of Vermont received its largest research award to date, securing a grant of up to $38 million to finance clinical trials of the artificial intelligence model. University President Marlene Tromp stated that this development strengthens the institution's research capacity.

Purpose of the AI Twin

Led by trauma surgeon and researcher Dr. Gary An, the project aims to prevent the collapse of the immune system in cases of severe infection or burns. The artificial intelligence model is designed as a computer program that mimics the human body's response to diseases.

Contribution to the Treatment Process

Doctors will feed a blood sample taken from the patient into the artificial intelligence and examine the treatment methods suggested by the system. This aims to shorten intensive care unit stays and implement more effective treatment methods.

Funding Source and Timeline

The funding is provided by the Advanced Research Projects Agency for Health, which invests in medical technology research within the National Institutes of Health. The project work is planned to last five years, while widespread use of the model may require seven to ten years.

Partner Institutions and Data Collection

Within the scope of the research, data is being collected from volunteer patients in collaboration with Wake Forest University, WashU School of Medicine, and the University of Alabama. While UVM researchers develop the models, the process is coordinated with various hospitals across the country.