United States sees disproportionate increase in body mass index rates of more than 60
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Updates every hour. Last Updated: 14-Sep-2025 03:11 ET (14-Sep-2025 07:11 GMT/UTC)
Researchers at the University of California San Diego School of Medicine have found that individuals with colon cancer and a documented history of high cannabis use were more than 20 times more likely to die within five years of diagnosis compared to those without such a history.
Molecular testing is transforming post-transplant care, reducing the need for invasive biopsies and personalizing medication regimens to lower the risk of infection and other downstream side effects, according to a presentation by Jeffrey Teuteberg, MD, this morning at the Annual Meeting and Scientific Sessions of the International Society of Heart and Lung Transplantation (ISHLT)
Most current AI models rely on high-quality scanned ECG images. But in the real world, doctors don’t always have access to perfect scans. They often rely on paper printouts from ECG machines, which they might photograph with a smartphone to share with colleagues or add to a patient’s records. These photographed images can be tilted, crumpled, or shadowed, making AI analysis much more difficult.
To solve this, Dr. Vadim Gliner, a former Ph.D. student in Prof. Yael Yaniv’s Biomedical Engineering Lab at the Technion, in collaboration with the Schuster Lab in the Henry and Marilyn Taub Faculty of Computer Science, has developed a new AI interpretability tool designed specifically for photographed ECG images. This paper was published in npj-Digital Medicine. Using an advanced mathematical technique (based on the Jacobian matrix), this method offers pixel-level precision, meaning it can highlight even the smallest details within an ECG. Unlike previous models, it doesn’t get distracted by the background and can even explain why certain conditions don’t appear in a given ECG.