AI Reads Routine Thyroid Slides to Predict BRAF Mutation Before Surgery
An interpretable pathomics framework predicted BRAF V600E status in papillary thyroid carcinoma from routine Wright-stained cytology slides, reaching an AUC ...
An interpretable pathomics framework predicted BRAF V600E status in papillary thyroid carcinoma from routine Wright-stained cytology slides, reaching an AUC ...
A new text-driven multiple instance learning model, TedMIL, improved fine-grained melanoma classification and FISH status prediction from whole slide images ...
A retrospective study in high-grade serous tubo-ovarian carcinoma found that HRDPath inferred homologous recombination deficiency from pathology slides with an ...
A new iScience study introduces CSCC-PAG, a deep learning framework that combines domain-specific pre-training with self-supervised domain adaptation to improve ...
An Ecuadorian research team has built HistoBreastCAD, an integrated deep learning framework that segments tissue regions, classifies breast histopathology into ...
A new study finds that the YOLO12s deep learning model detects mitotic figures in whole-slide breast cancer images with F1-scores ...
A semi-supervised deep learning system called TBMNet accurately quantifies tumor budding in colorectal cancer slides and reveals molecularly distinct budding ...
Researchers have developed SlideChat, a multimodal generative AI assistant that interprets gigapixel whole-slide pathology images across 31 cancer types and ...
Pathology has entered an era in which a single medical image can contain more information than any human can comfortably ...
In the rapidly evolving landscape of biomedical research, one of the most transformative advancements in recent years has been the ...
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© 2025 Scienmag - Science Magazine