AI Reads Routine Mammograms to Predict Breast Cancer HER2 Status Without Biopsy
A dual-center study shows that a deep learning radiomics model applied to routine mammograms can noninvasively predict HER2-positive and HER2-low ...
A dual-center study shows that a deep learning radiomics model applied to routine mammograms can noninvasively predict HER2-positive and HER2-low ...
A new review in Molecular Biology Reports argues that DNA methylation silencing of the TRAIL pathway components DR5, DcR2, and ...
A multicenter study shows that a machine learning model combining features from three MRI sequences can non-invasively distinguish luminal A ...
A study of more than 1,000 young breast cancer patients finds that lower income and younger age are linked to ...
A meta-analysis of 41 studies and 3,058 patients shows that detectable circulating tumor DNA after neoadjuvant therapy strongly predicts worse ...
A Mayo Clinic analysis of 1,364 cancer patients links distinct gut microbiome patterns to five cancer groups, early-onset colorectal and ...
An Italian feasibility study found that a tailored multidisciplinary program combining occupational therapy, information, and social support achieved high adherence, ...
An AI-assisted design pipeline produced the gallium-68 PET tracer Ga-DOTA-FZPF, which targets PARP-1 and has now completed a first-in-human evaluation ...
A new benchmark study shows that data augmentation lifts pre-trained deep learning models to up to 98.06% accuracy in classifying ...
A randomized controlled trial found that a 12-week anti-inflammatory dietary education program significantly reduced sleep disturbances, lowered inflammatory biomarkers, and ...
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© 2025 Scienmag - Science Magazine