AI Medical Compendium

Water quality prediction based on multi-model ensemble learning in a large-scale basin: A case study of the Poyang Lake Basin, China.

Journal of contaminant hydrology Mar 27, 2026

Total phosphorus (TP) poses a severe threat to the health of fluvial and lacustrine ecosystems in China. Accurate prediction of TP and analysis of its driving mechanisms are thus critical for water quality management, especially in large-scale basins... read more

Artificial intelligence and multi-omic empowered-tracing macrophage diagnostic and druggable implications in coronavirus pneumonia.

Computational biology and chemistry Mar 27, 2026

BACKGROUND: As the innate immune barrier, macrophages play an important role in coronavirus infection pneumonia and post-infection regeneration. OBJECTIVE: Deeper understanding of macrophages can provide additional insights into treatment of coronavi... read more

Nanomaterials for active and intelligent food packaging: Shelf-life extension, real-time sensing, and security applications.

Food chemistry Mar 27, 2026

Nanotechnology offers innovative strategies for developing advanced active and intelligent food packaging systems to address these multifaceted issues. This review explores the critical role of nanomaterials (NMs) in food packaging innovation, focusi... read more

Maintenance factors for eating disorder symptoms based on ecological momentary assessment studies: A systematic review.

Clinical psychology review Mar 27, 2026

Several prominent theories of eating disorders maintenance exist, with most corresponding to evidence-based treatments. Ecological momentary assessment (EMA) is ideal for testing relationships between proposed maintenance factors and eating disorder ... read more

Response to letter to the editor: Authors response to comment on "Predictors of short-term, relapse-independent progression in multiple sclerosis: A machine learning approach based on clinical data and conventional MRI-derived features".

Journal of the neurological sciences Mar 27, 2026

CEMTNet: a cognitive emotion modulated network for multimodal depression detection.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2026

Early depression detection is a critical task in public health, making automatic depression identification increasingly important. Existing multimodal methods face challenges of cross-modal emotional inconsistency, subtle emotional cue extraction, an... read more

DoTT-ML: Condition-aware detection of transcriptional readthrough from RNA-seq with optional ML-based prioritization.

Computational biology and chemistry Mar 27, 2026

Disruption of transcription termination (DoTT) occurs when RNA polymerase II reads past a gene's normal 3' end, generating downstream "readthrough" RNA. DoTT has been reported under stresses such as viral infection and metabolic perturbation. But, ma... read more

KSNet: Advancing autism prediction via KAN-based graph convolution and multi-source data fusion.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2026

Integrating functional brain networks and Graph Convolutional Networks (GCN) architecture reveal promising diagnostic capabilities for brain disorders. Prevailing approaches remain constrained when capturing dynamic nonlinearities, characterizing int... read more

Frontiers in polysaccharide biosynthesis: Decoding the catalytic logic of enzymes for future applications.

Carbohydrate research Mar 27, 2026

Polysaccharide biosynthesis serves as the fundamental pathway for the sustainable and precise manufacturing of these essential biomacromolecules. This review provides a systematic analysis of the molecular mechanisms underlying natural polysaccharide... read more

Machine Learning Models to Evaluate County-Level Incidence of Diagnosed Diabetes and Sociodemographic Factors.

American journal of medicine open Mar 27, 2026

AIMS: To evaluate county-level incidence of diagnosed diabetes and key sociodemographic factors in a high-dimensional, nonlinear setting. METHODS: This temporally aggregated observational study used US Centers for Disease Control and Prevention data ... read more

Artificial Intelligence Medical Compendium