Causal Multiple Instance Learning Improves Weakly Supervised Tumor Slide Classification
A causal multiple instance learning framework reduces reliance on confounding slide variations to enhance weakly supervised tumor classification in whole ...
A causal multiple instance learning framework reduces reliance on confounding slide variations to enhance weakly supervised tumor classification in whole ...
A study reveals that high miR-2278 expression independently predicts shorter relapse-free survival and drives lung squamous cell carcinoma progression partly ...
A retrospective comparative study of 702 lung cancer patients revealed that pulmonary adenosquamous carcinoma treated with neoadjuvant therapy had lower ...
In targeted sequencing of non–small cell lung cancer, prognostic gene discovery increases linearly with cohort size before reaching a plateau ...
A retrospective study of 1,515 patients indicates that genetic testing and targeted therapy enhance clinical outcomes and reduce healthcare costs ...
An integrated bioinformatics analysis revealed that all ten EXOSC family genes are upregulated in lung squamous cell carcinoma, highlighting their ...
A multicenter retrospective study of 54 patients found that lorlatinib significantly extended progression-free survival compared to earlier-generation inhibitors in ALK ...
A case report describes fulminant sintilimab-associated myocarditis progressing to complete atrioventricular block despite a preserved ejection fraction, with suspected myositis–myasthenia ...
A computational study combining database mining, network analysis and molecular docking identifies TP53, AKT1, IL6 and CCND1 as potential resveratrol ...
A new study reports that the m6A reader protein IGF2BP3 promotes non-small cell lung cancer progression by stabilizing TROAP mRNA ...
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© 2026 Scienmag - Science Magazine