Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide, yet existing prognostic models incompletely capture its molecular heterogeneity. We developed an interpretable, attention-based multi-branch deep learning framework for ... read more
The success of COVID-19 mRNA vaccines has made the in-solution stability optimization of mRNAs a key objective. However, we still lack a complete understanding of sequence metrics that influence mRNA in-solution stability. RNA secondary structure pla... read more
Scaling of sparingly soluble salts remains a major barrier to deploying membrane distillation (MD) in sustainable water treatment. This work introduces an artificial intelligence (AI)-driven computational framework for designing scale-resistant feed ... read more
Forensic body fluid identification, crucial for crime scene reconstruction, is often limited by sample scarcity and degradation. Hence, there is growing interest in more stable biomarkers like miRNA and microbial markers. While each has its limitatio... read more
Neural networks : the official journal of the International Neural Network Society
Apr 4, 2026
Multi-view learning capitalizes the multiple representations of data and integrates their heterogeneous information to improve the learning performance. Several support vector machine (SVM)-based multi-view models have been proposed and shown excelle... read more
Journal of molecular graphics & modelling
Apr 4, 2026
The escalation of antimicrobial resistance (AMR) has become a major global public health threat, creating an urgent need for novel antimicrobial therapeutics. Antimicrobial peptides (AMPs), owing to their unique mechanisms of action and low propensit... read more
Journal of the American College of Radiology : JACR
Apr 4, 2026
BACKGROUND: Some radiology practices ask patients to pay out of pocket for supplemental artificial intelligence (AI) interpretations of screening mammograms. PURPOSE: To determine if different price points and information conditions influence patient... read more
BACKGROUND: Generative AI (genAI) is now embedded in higher education, yet its implications for undergraduate nursing students' decisions to attend voluntary on-campus learning alongside mandatory Clinical Learning Environment (CLE) activities remain... read more
Developing effective cancer treatments requires identifying novel therapeutic agents with high biological activity. Fucoidan, a sulfated polysaccharide from brown algae, is a promising natural scaffold for anticancer drug development. In this study, ... read more
BACKGROUND: Urolithiasis is a prevalent urological condition, and Non-Contrast Computed Tomography (NCCT) is the gold standard for diagnosis. In recent years, there has been growing interest in investigating machine learning (ML)- based detection of ... read more
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