Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
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Science for living: Can using AI risk prediction in breast cancer screening improve early detection?
Artificial intelligence is transforming medicine, but what does that mean for breast cancer screening? Researchers at UMass Chan Medical School are exploring how an AI-based tool might help identify ...
Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...
Abstract: The scarcity of annotated medical images and class imbalance hinder deep learning performance in skin cancer detection, limiting diagnostic accuracy and highlighting the need for enhanced ...
A breakthrough personalized mRNA cancer vaccine that trains the immune system to target patients' unique tumor mutations is showing promising results. Five-year trial data show the risk of recurrence ...
A new coalition of cancer research charities is putting early detection of some of oncology’s deadliest tumours firmly on the agenda, committing $12m to six collaborative research projects, announced ...
Abstract: Skin allergies, such as eczema, atopic dermatitis, and contact dermatitis, are widespread dermatological issues that often require early and accurate diagnosis to ensure effective treatment.
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