Medicine & Health
Updates every hour. Last Updated: 25-Dec-2025 20:11 ET (26-Dec-2025 01:11 GMT/UTC)
Researchers identify Rb1 as a predictive biomarker for a new therapeutic strategy in some breast cancers
University of Texas M. D. Anderson Cancer CenterPeer-Reviewed Publication
A new study published today in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center details a therapeutic vulnerability in patients with an aggressive subtype of triple-negative breast cancer.
- Journal
- Science Translational Medicine
- Funder
- NIH/National Cancer Institute
Heart-brain connection: international study reveals the role of the vagus nerve in keeping the heart young
Sant’Anna School of Advanced Studies, PisaPeer-Reviewed Publication
- Journal
- Science Translational Medicine
Stimulant ADHD medications work differently than thought
Washington University in St. LouisPeer-Reviewed Publication
- Journal
- Cell
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- NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH, NIH
AI model predicts blood loss in liposuction, reports Plastic and Reconstructive Surgery®
Wolters Kluwer HealthPeer-Reviewed Publication
- Journal
- Plastic & Reconstructive Surgery
Magnetic robotization in clinical medicine: A review
KeAi Communications Co., Ltd.Peer-Reviewed Publication
Researchers in China conducted a comprehensive overview of the fabrication of magnetic robotic materials, structural design, actuation systems, and their application scenarios. In terms of fabrication, permanent magnetic particles are discussed. Structural design encompasses one-dimensional, two-dimensional, and three-dimensional architectures, as well as bio-inspired structures. The actuation systems primarily introduce coil-based mechanisms and permanent magnet-based approaches. Application scenarios mainly include targeted drug delivery and minimally invasive surgery, among others.
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- Magnetic Medicine
- Funder
- Natural Science Foundation of China, National Key R&D Project of China, Young Talent fund of University Association for Science and Technology in Shaanxi, China, Xi'an Science and Technology Plan Project
Automatic label checking: The missing step in making reliable medical AI
Osaka Metropolitan UniversityPeer-Reviewed Publication
Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and simultaneously determine the imaging method and image orientation. Using these models, they successfully classified almost all data for use in deep-learning models.
- Journal
- European Radiology
- Funder
- JST BOOST, Japan Society for the Promotion of Science