A new artificial intelligence model found previously undetected signals in routine heart tests that strongly predict which patients will suffer potentially deadly complications after surgery. The model significantly outperformed risk scores currently relied upon by doctors.
University of Massachusetts Amherst researchers and scientists at Embr Labs, a Boston-based start-up, have developed an AI-driven algorithm that can accurately predict nearly 70% of hot flashes before they’re perceived.
A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyzes previously unutilized information in mammograms and pinpoints with high accuracy the individual risk of metastasis in the armpit.
Researchers have developed a generative AI model that uses large-scale health records to estimate how human health may change over time. It can forecast the risk and timing of over 1,000 diseases and predict health outcomes over a decade in advance.
The Moberg Clinical Platform brings advanced analytics and AI to critical care, offering clinicians new insights into brain function that can directly inform patient management
WALTHAM, Mass., Sept. 16, 2025 /PRNewswire/ — Body Vision Medical, a global leader in AI-powered intraoperative imaging, is proud to announce that its LungVision AI-powered advanced imaging system has received regulatory approval from the Central Drugs Standard Control Organization (CDSCO) in India. This approval marks a significant milestone in the company’s mission to improve early and accurate lung cancer diagnosis worldwide.
Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity.
An AI algorithm based only on routine mammogram images plus age can predict a woman’s risk of major cardiovascular disease as well as standard risk assessment methods, finds research published online in the journal Heart.
Stanford Medicine researchers have developed an artificial intelligence tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help researchers—even those unfamiliar with gene editing—generate designs, analyze data and troubleshoot design flaws.
Nearly 50 new cancer therapies are approved every year. This is good news. “But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the treatment methods from which the people affected—each with their very individual tumor characteristics—will benefit the most,” says Dr. Altuna Akalin, head of the Bioinformatics and Omics Data Science technology platform at the Berlin Institute for Medical Systems Biology of the Max Delbrück Center (MDC-BIMSB).