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.

The Society for Healthcare Epidemiology of America (SHEA), in partnership with APIC, IDSA, and PIDS, has released a new position paper urging U.S. healthcare facilities to strengthen their Infection Prevention and Control (IPC) programs. Citing vulnerabilities exposed during the COVID-19 pandemic, the paper outlines key recommendations for enhancing IPC leadership, resources, and accountability to protect patients, improve healthcare quality, and reduce costs. The societies call for IPC programs to be recognized as essential to healthcare operations and advocate for revised standards and a dyad leadership model to drive sustainable improvements.

A new study published in the Journal of Perinatology is helping premature babies avoid blood transfusions, thanks to new research and collaboration between researchers at Intermountain Health and the University of Utah.