AI Reads Lymph Node CT Scans to Predict Nasopharyngeal Cancer Treatment Success
A machine learning model trained on CT texture features of metastatic neck lymph nodes predicted which patients with advanced nasopharyngeal ...
A machine learning model trained on CT texture features of metastatic neck lymph nodes predicted which patients with advanced nasopharyngeal ...
A randomized trial at MD Anderson Cancer Center found that personalized navigation support raised BRCA genetic testing uptake among at-risk ...
Researchers have built an explainable ensemble deep learning framework that fuses four transfer learning models using CMAES optimization to classify ...
An explainable graph neural network called SpaCEy identifies the spatial tissue patterns and protein markers that predict cancer survival and ...
Fred Hutch researchers report in Nature that a single transfer RNA, tRNA1Arg(UCU), controls whether prostate cancer cells remain androgen receptor-dependent ...
A new review maps the engineering strategies, from dual-target receptors to tumor microenvironment remodeling, that could finally bring CAR-T cell ...
A pan-cancer analysis of 33 tumor types reveals that the DNA-repair kinases TLK1 and TLK2 drive genomic instability and shape ...
A new review in Molecular Biology Reports maps how the ceramide–S1P balance and ganglioside signaling form a cancer-type-specific lipid code ...
A comprehensive review finds that while artificial intelligence shows striking performance in detecting, staging, and predicting gastric cancer outcomes, most ...
A Nature Reviews Clinical Oncology Review proposes a modular biomarker framework that moves ADC patient selection beyond semi-quantitative immunohistochemistry by ...
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© 2026 Scienmag - Science Magazine