AI Medical Compendium

Ontology development and use for cholangiocarcinoma risk factors and predictions: a term enrichment data analysis and machine learning classification.

Journal of biomedical semantics Jan 22, 2026

FishDiveR: wavelet analyses and machine learning provide robust classification of animal behaviour from time-depth data.

Movement ecology Jan 22, 2026

Interfacial Modification of Nanochannels for Enhanced Detection Accuracy in Complex Matrices.

Chemical record (New York, N.Y.) Jan 22, 2026

Solid-state nanochannels, as an emerging single-molecule sensing platform, have shown great potential in environmental monitoring, biomedical diagnostics, and food safety owing to their high stability, tunable geometry, and facile surface functionali... read more

Cancer-Like Fragmentomic Characteristics of Somatic Variants in Cell-Free DNA.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 22, 2026

Cell-free DNA (cfDNA) in plasma consists of short DNA fragments resulting from a non-random fragmentation process, with distinct fragmentomic characteristics that are related with their cellular origins. Here, we report that somatic variant signature... read more

The Mitochondrial Guardian α-Amyrin Mitigates Alzheimer's Disease Pathology via Modulation of the DLK-SARM1-ULK1 Axis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 22, 2026

High consumption of colorful fruits and vegetables correlates with low dementia risk, but the exact molecules and the underlying biological mechanisms governing their bioactive profiles are largely unknown. Using a 10-year observational cohort study ... read more

Algal-derived oligopeptides: overcoming extraction, and purification barriers for sustainable nutraceuticals innovation.

Critical reviews in food science and nutrition Jan 22, 2026

Algae-derived oligopeptides have emerged as high-value biomolecules for health and industrial applications due to their superior solubility, stability, and bioavailability compared with intact proteins. However, large-scale utilization remains constr... read more

scACAN: An Adaptive Learning Framework Aggregating Local Graph Structure Context for Rare Cell Type Identification.

Journal of chemical information and modeling Jan 22, 2026

Single-cell RNA sequencing (scRNA-seq) technology has become an essential tool for dissecting cellular heterogeneity and elucidating complex biological systems. Nevertheless, the uneven distribution of cell types and the limited representation of rar... read more

Numerical modeling and prediction of late estimated glomerular filtration rate in kidney transplant recipients based on machine learning models and the Monte Carlo simulation method.

Biomedizinische Technik. Biomedical engineering Jan 22, 2026

OBJECTIVES: This paper presents an experimental numerical method for modeling and analyzing stochastic systems. For this purpose, various machine prediction models are trained using the Monte Carlo simulation method. This method is presented using ex... read more

Advances in MS-based glycomics for biomedical research.

Analytical methods : advancing methods and applications Jan 22, 2026

Glycosylation is a highly complex and functionally diverse post-translational modification that modulates protein folding, stability, cell signaling, and immune response. Aberrant glycosylation is associated with numerous diseases, including cancer, ... read more

The challenge in finding a simple, accurate, reliable, and affordable tool for the objective assessment of excessive daytime sleepiness (EDS).

Physiological measurement Jan 22, 2026

Excessive daytime sleepiness (EDS) refers to a physiological state where individuals have difficulty remaining alert during the day. Managing EDS is particularly challenging to study and treat due to its multifaceted nature. Assessment methods includ... read more

Artificial Intelligence Medical Compendium