MeSH tree: E05.595.185
Researchers at Rice University and The University of Texas MD Anderson Cancer Center have developed a compact, artificial intelligence-powered imaging device that could transform how clinicians detect cancer. The technology, ...
May 12, 2026
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New research from Swansea University has identified significant delays and diagnostic barriers affecting rheumatology patients in Wales. The study is published in the Journal of Patient Experience.
Apr 17, 2026
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Researchers at Karolinska Institutet have established a novel transplantation site for islets of Langerhans that enables long-term intravital microscopy of islet physiology in awake mice with exceptional stability.
Nov 18, 2025
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Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they often overlook crucial patient ...
Nov 14, 2025
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Australia needs to be innovative when it comes to skin cancer detection by embracing a nurse-led model that could save thousands of lives in the long run, according to a new paper.
Oct 9, 2025
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Immune cells called double negative T cells are abundant in the intestine but have been poorly understood till date. In a recent study, researchers from the Institute of Science Tokyo report that these cells actually have ...
Oct 1, 2025
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Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new AI-powered tool that analyzes multiple imaging types simultaneously, developed by an international team of researchers led ...
Jun 9, 2025
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Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a new study shows.
Nov 14, 2024
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There are three major kinds of skin cancer—squamous cell carcinoma, basal cell carcinoma and melanoma. Melanoma is the most dangerous. The first sign of melanoma is a change in an existing mole or a new, unusual-looking growth ...
Aug 28, 2024
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An algorithm can help health care professionals recognize which patients have a highly aggressive form of basal cell carcinoma (BCC) of the face. If more BCCs are correctly identified as high-risk, the patients can directly ...
Jul 2, 2024
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