MeSH tree: E05.595.185
Living bone is fascinating because of its unique ability to adapt to mechanical stress and regenerate without scarring. During fracture healing, blood vessels and bone cells work closely together to gradually replace the ...
Jun 4, 2024
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By the time cancer is diagnosed, a lot has already happened behind the scenes. Although cancers are classed into early and late stages for clinical purposes, even an "early" stage tumor is the result of many previous, undetectable ...
May 6, 2024
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A mobile app that uses artificial intelligence, AI, to analyze images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from Linköping University in Sweden where the app ...
Mar 20, 2024
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To mechanistically understand what happens in the living body under physiological and pathological conditions, requires a non-invasive high spatiotemporal resolution research tool. It has been challenging to create such a ...
Jan 17, 2024
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Research from Ann & Robert H. Lurie Children's Hospital of Chicago promises to spare many premature infants from undergoing invasive eye exams to detect retinopathy of prematurity (ROP), the most common cause of preventable ...
Jun 30, 2023
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A tiny spot on Christy Staats's cheek measured just 0.65 millimeters—or 0.025 inches—and was almost invisible to the human eye. But with help from state-of-the-art non-invasive technology, an OHSU dermatologist and a multi-disciplinary ...
May 1, 2023
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Pancreatic cancer drug response and resistance has been uncovered in unprecedented detail, thanks to a research tool developed at the Garvan Institute.
Apr 28, 2023
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For almost 140 years, the origin and behavior of an enigmatic cell type inside lymph nodes, called a tingible body macrophage, has remained a mystery. Now, for the first time, scientists at the Garvan Institute of Medical ...
Mar 2, 2023
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A deep learning (DL) model based on dermatoscopic images can differentiate scalp psoriasis from seborrheic dermatitis, according to a study recently published in Frontiers in Medicine.
Feb 16, 2023
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Assessing the thickness of melanoma is difficult, whether done by an experienced dermatologist or a well-trained machine-learning algorithm. A study from the University of Gothenburg shows that the algorithm and the dermatologists ...
Jul 20, 2022
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