Biological neural networks are characterized by short average path lengths, high clustering, and modular and hierarchical architectures. These complex network topologies strike a balance between local specialization and global synchronization via lon... read more
While single-cell foundation models (SCFMs) have shown promise across various downstream tasks, their generalization performance in label-scarce settings remains a critical bottleneck. The absence of systematic benchmarks for these low-resource scena... read more
N4-acetylcytidine (ac4C) is an ancient and highly conserved chemical marker found in all domains of life. Recent advancements in sequencing techniques have enabled the functional analysis of ac4C occurrence by accurately capturing its locations and l... read more
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
Pulmonary sarcoidosis is a heterogeneous granulomatous disease with an unpredictable clinical course, in which accurate assessment of disease activity remains a major clinical challenge. Although up to two-thirds of newly diagnosed patients experienc... 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
Topological states, which often manifest as localized modes at interfaces between distinct topological phases, and their manipulation have attracted considerable interest in research. Here, we demonstrate a versatile approach to sculpting topological... read more
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