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Medical News and articles you can trust from around the world. All content is written and reviewed by qualified health, medical and scientific experts.
- 486articles · 30d
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- Aug 14, 2026earliest in window
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News
Breast cancer AI test finds no single chatbot excels across every measure
2+ day, 7+ hour ago (759+ words) A head-to-head comparison of five leading LLMs tested what happens when breast cancer questions move from textbook knowledge to clinical cases and the everyday concerns patients bring to their care teams. A comparative study of large language models in responding…...
OutSee awarded Innovate UK grant for agentic AI pilot study to enhance drug target validation
4+ day, 4+ hour ago (481+ words) News-Medical OutSee awarded Innovate UK grant for agentic AI pilot study to enhance drug target validation OutSee, a genomics and drug discovery company pioneering a unique AI-based predictive approach to uncover new drug targets, today announced it has been awarded…...
New AI model decodes chemical signals guiding embryonic cell development
4+ day, 16+ hour ago (515+ words) As an embryo develops from a small cluster of stem cells, those once "blank slate" cells begin to take on more specialized roles like brain, liver, or muscle cells, and organize themselves into three-dimensional structures such as tissues and organs....
Physics-guided framework doubles digital pathology resolution for cancer screening
4+ day, 20+ hour ago (240+ words) Digital pathology relies on high-resolution imaging for accurate cancer diagnosis, yet high-magnification systems remain slow and costly for large-scale screening. Physics-guided framework doubles digital pathology resolution for cancer screening Digital pathology relies on high-resolution imaging for accurate cancer diagnosis, yet…...
AI-designed drug candidate reverses biological age in clinical study
5+ day, 18+ hour ago (185+ words) Insilico Medicine ("Insilico"), a clinical-stage company focused on generative AI-driven drug discovery and development, today announced the publication of a new study conducted in collaboration with an international team of scientists from Harvard Medical School, Stanford University, The Broad Institute,…...
New V-UNet model improves efficient medical image segmentation
6+ day, 16+ hour ago (615+ words) Segmentation tools help doctors identify and delineate tumors, lesions, and other abnormalities in medical images. New V-UNet model improves efficient medical image segmentation Segmentation tools help doctors identify and delineate tumors, lesions, and other abnormalities in medical images. However, noise,…...
Physics-informed AI framework improves aortic aneurysm stress prediction
1+ week, 1+ day ago (200+ words) Shichao Zhu, author, researcher at Fudan University This study proposed BioPINN-LM, a hybrid computational framework for rapid wall-stress prediction and conversational risk interpretation in ascending thoracic aortic aneurysms. The researchers first extracted morphological information from CTA-derived ATAA geometry, encoded the…...
AI learned from cardiologists’ notes, and needed far less labeled ECG data
1+ week, 3+ day ago (627+ words) By teaching an AI system to connect raw heart signals with the clinical insights contained in cardiologists’ reports, researchers tested whether routine ECGs could reveal more with far fewer labeled examples. The model was further shown to match the performance…...
Accelerated phenotypic profiling with high-content imaging and AI image analysis
2+ week, 5+ day ago (1547+ words) High-content imaging plays a key part in drug discovery today, facilitating the simultaneous capture of multiple cellular features and providing a more in-depth view of cellular responses to perturbations than single-parameter assays. The HCS.ai high-content screening system boasts a…...
AI-driven drug-target interaction prediction moves toward real-world workflows
3+ week, 2+ day ago (461+ words) News-Medical Be the first to rate this article AI-driven drug-target interaction prediction moves toward real-world workflows Drug-target interaction prediction can help researchers explain mechanisms of action, identify candidate targets, reposition existing medicines and prioritize compounds before costly laboratory work. Yet…...