COVID-19

Integrated Network Analysis Suggests an miR-21/MMP/VEGF-Associated Regulatory Axis in Gastric Cancer.

BACKGROUND, AIMS: Gastric cancer (GC) pathogenesis involves complex molecular interactions that remain incompletely understood at a biological systems level. While microRNA-21 (miR-21), matrix metalloproteinases (MMPs), and vascular endothelial growth factor (VEGF) have been individually implicated in GC, their integrated role as a coordinated regulatory network remains uncharacterized. And we aim...

Evolution of peptide-mediated siRNA delivery - from early design to next generation platform.

Small interfering RNA (siRNA) therapeutics has huge potential for treating many diseases, including those incurable or undruggable by small molecules or antibodies, by harnessing RNA interference (RNAi) to achieve specific silencing of disease-associated genes. To date, all approved siRNA drugs are limited to liver targeting, largely due to delivery challenges. The two siRNA delivery platforms use...

A Dynamic Prognostic and Adaptive Treatment Framework for Advanced Biliary Tract Cancer.

BACKGROUND & AIMS: First-line immuno-chemotherapy is standard for advanced biliary tract cancer (BTC), but outcomes vary substantially, necessitating ...

Novel Robotic Control Methods That Account for System Compliance Decrease the Errors in Ligament Tensions Computed Using the Superposition Method.

Superposition testing is a method to quantify in situ ligament tension by measuring the change in joint loads before and after ligament sectioning. De...

HBV-Specific T Cell Responses for Short-Term Hepatitis Progression Prediction: A Comparative, Interpretable Machine Learning Study.

BACKGROUND & AIMS: As central determinants of viral control and immunopathology, hepatitis B virus (HBV)-specific T-cell responses provide more clinic...

Engineering selective amyloid precursor protein inhibitors by machine learning and deep mutational scanning.

Deep mutational scanning (DMS) has proven effective for mapping protein-protein interactions (PPIs), but it cannot provide complete coverage of the mu...

Pocket restraints guided by B-cell epitope prediction improve Chai-1 antibody-antigen structure modeling.

The accurate prediction of antibody-antigen (AbAg) complexes is a key challenge for computational immunology, with applications in therapeutic antibod...

Multiple Summary Knowledge-Based Disease Prevalence Estimation for Group Testing Data.

Group testing is widely recognized for its ability to reduce time and cost in screening for rare diseases. However, with limited samples, the paramete...

Prediction Model for Mild Cognitive Impairment in Older Chinese Patients With Cerebral Small Vessel Disease Based on XGBoost Algorithms and Shapley Additive Explanations.

OBJECTIVE: This study aims to evaluate cognitive function in patients with Cerebral Small Vessel Disease (CSVD) and investigate its association with v...

The role of catastrophizing in anxiety and depression symptom scores among knee osteoarthritis patients: a multimodal assessment with EEG and machine learning.

To examine dimensional associations between anxiety- and depression-related symptom severity, pain catastrophizing, and resting-state EEG features in ...

Cross-Vendor Robustness of a Hybrid Deep Learning Framework for Four-Stage Periodontitis Classification on Panoramic Radiographs.

OBJECTIVES: Although deep learning for periodontitis diagnosis on panoramic radiographs has advanced rapidly, most studies use single-vendor data and ...

Advancing Human-Centered AI in Clinical Decision Support: Sociocognitive Human-in-the-Loop Study in HIV Care.

BACKGROUND: AI-powered clinical decision support systems (CDSS) have shown promise in improving prediction, monitoring, and treatment optimization acr...

Explaining the spatial heterogeneity in soil-rice yield interactions via a hybrid interpretable machine learning and spatial analysis framework.

Rice (Oryza sativa L.) constitutes the main food for more than 50% of the global population, and its production significantly influences food security...

Discovery and development of small-molecule inhibitors targeting cytotoxic T lymphocyte associated protein 4 to enhance cancer immunotherapy and reduce side effects.

The immune system plays crucial role to fight against cancer. Still, cancer cells have evolved mechanisms to evade immune responses, especially throug...

Mask-aware biased graph learning for marine chlorophyll-a spatiotemporal forecasting under high missing rates.

Precise coastal chlorophyll-a prediction is essential for marine ecosystem assessment and harmful algal bloom warning. Nonetheless, satellite-based ch...

Integrative multi-omics and machine learning identify CHRNA1 putative circadian-immune hub in COPD.

BACKGROUND: Circadian rhythm disruption is increasingly recognized as a contributor to chronic inflammatory disorders; however, its specific significa...

Self-interaction nanoparticle spectroscopy predicts high-concentration viscosity of therapeutic IgG1 antibodies.

Predicting high-concentration viscosity of monoclonal antibodies is crucial for their development as therapeutics for subcutaneous delivery, but tradi...

Whole genome sequencing in cerebral palsy: a UK paediatric pilot study.

BACKGROUND: Prior international studies indicate that 9-36% of people with cerebral palsy (CP) have a monogenic condition. However, the utility of who...

Toxic effects and mechanisms of methyl 4-hydroxybenzoate in allergic rhinitis: a multi-omics and toxicology study.

PURPOSE: Exogenous chemical exposure is closely associated with allergic rhinitis (AR). Methyl 4-hydroxybenzoate (MeP), a widely used preservative, po...

Integrating Multimodal Data and Genomics for a Comprehensive Assessment of Cardiovascular Aging and Its Impact.

BACKGROUND: Age-related structural and functional remodeling of the heart and vessels increases cardiovascular disease (CVD) risk, yet comprehensive a...