YOUNGSTOWN, Ohio, Jan. 29, 2026 /PRNewswire/ — Nivalon Medical Technologies Inc. has successfully produced the world’s first fully patient-specific, motion-preserving spinal implant built entirely without metal, using AI-driven design and advanced ceramic 3D printing.
Numerous genetic studies have identified many risk variants for type 2 diabetes (T2D)—but which genes and proteins are actually involved in the disease mechanisms?
Artificial intelligence (AI)-supported mammography identifies more cancers during screening and reduces the rate of breast cancer diagnosis by 12% in the years following, finds the first randomized controlled trial of its kind. The trial involved over 100,000 Swedish women, and its results are published in The Lancet.
Euan Ashley’s lab explores the intricate interactions of gene variants. Tiny “typos,” or genetic mutations, can sneak into segments of DNA. Many of these are harmless, but some can cause health problems. Two or more genes can team up and change the outcome of a physical or molecular trait. This phenomenon, known as epistasis, occurs through complex interactions between genes that are functionally related—such as those that support protein creation.
eMurmur has received FDA 510(k) clearance for its next-generation heart murmur detection software, eMurmur Heart AI (2.2).
Why do some tumors spread while others remain localized? The mechanisms governing the metastatic potential of tumor cells remain largely unknown—yet understanding this is crucial for optimizing patient care.
11 newly cleared indications, combined with three existing ones, introduce an AI safety net for crowded Emergency Departments and imaging backlogs
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This breakthrough holds promise for future home-based prediabetes screening using consumer wearable devices, without requiring invasive blood tests.
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic lateral sclerosis (ALS).
A team of Mass General Brigham researchers has developed one of the first fully autonomous artificial intelligence (AI) systems capable of screening for cognitive impairment using routine clinical documentation.