Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
University of California San Diego-led team has discovered that restoring a key cardiac protein called connexin‑43 in a mouse ...
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New model predicts redo surgery risk in adult congenital heart disease
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...
Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at University of Michigan, according to a recent study. Subscribe to our newsletter ...
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Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
AI model doubles accuracy in predicting heart disease risk, according to the author of the study. SAN DIEGO (KGTV) - A new "meta prediction model" developed by researchers at Scripps Research in La ...
In a single IV injection, a gene therapy targeting cBIN1 can reverse the effects of heart failure and restore heart function in a large animal model. The therapy increases the amount of blood the ...
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