From WisPolitics.com/WisBusiness.com …
— WARF is touting a new screening tool that can predict patients’ likelihood of developing age-related diseases.
The tool was included in the Wisconsin Alumni Research Foundation’s latest group of top licensing prospects in its health care portfolio. It was developed by UW-Madison radiologists Perry Pickhardt, John Garrett and Michael Kattan.
It relies on biomarkers captured by medical imaging techniques, assessment of various measures such as genetics, lifestyle and environmental factors to establish a “personalized, precise” analysis of a patient’s health.
John Garrett, an associate professor and director of imaging informatics in the university’s Department of Radiology, says the AI-based tool “is so powerful” because most Americans have undergone an abdominal CT scan by age 65.
“And so if you can make measurements like this automatically in the background, and then correlate them with different types of outcomes, you can help guide people into … better preventative care,” he said in remarks provided by WARF.
This “opportunistic screening” approach can assess bone and muscle density, fat distribution and more while a patient comes in for another reason, helping clinicians predict things such as cardiovascular health and risk of injury. By expanding on existing screening with AI-based “deep learning” tools, the new tool can compare findings with others in their demographic group.
“The idea is that many of these things may be reversible,” Garrett said. “So if you have a very advanced biological age derived from these markers … there may be medical or lifestyle changes that can be implemented to sort of help reverse that, which is very appealing.”
See more here.
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