This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Abstract: Differentiating myocardial scar tissue from healthy myocardium and imaging artifacts is essential in clinical practice. This study investigates the feasibility of using radiomics and deep ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Abstract: Metric-based few-shot learning (FSL) methods have shown great potential in cross-domain hyperspectral image (HSI) classification. However, existing approaches face three key challenges: ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
LAGUNA HILLS, Calif., Dec. 10, 2025 /PRNewswire/ -- Prelude Corporation (PreludeDx®), a leader in precision diagnostics for early-stage breast cancer, today announced results from the first ...
A 9-gene classifier improves metastasis prediction in STS, outperforming existing models like CINSARC. The classifier shows efficacy across multiple cancers, including breast cancer, kidney clear cell ...
The Buffalo Bills head to Foxborough, Massachusetts, this weekend as a slight favorite against the surging New England Patriots. BetMGM lists Buffalo as a 1-point favorite with an over/under of 49.5 ...
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