AI Medical Compendium

Network Methods for Diagonal Integration of Unpaired Single-Cell Multi-Omics Data: A Review.

Bioinformatics (Oxford, England) Jun 2, 2026

MOTIVATION: Advances in single-cell sequencing have enabled multi-omics profiling at unprecedented resolution; however, mass spectrometry-based single-cell proteomics (scMS) remains inherently destructive, precluding simultaneous transcriptomic captu... read more

A novel peak-searching method for multiple radioisotopes based on deep learning.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Jun 2, 2026

Gamma-ray spectroscopy is the cornerstone of nuclear security, arms control verification, and emergency response. However, traditional radionuclide identification methods struggle with the massive data streams and complex multi-nuclide environments c... read more

The relationship between AI self-efficacy and critical thinking among nursing students: A network analysis.

Nurse education in practice Jun 2, 2026

AIM: This study used network analysis to characterize the internal structure of artificial intelligence self-efficacy (AISE) among nursing students and to examine how specific AISE components related to critical thinking (CT). BACKGROUND: As artifici... read more

Flexible electrospun microcone-array SERS swab for rapid on-site detection of saffron adulteration.

Talanta Jun 2, 2026

Surface-enhanced Raman scattering (SERS) has attracted increasing attention in food authenticity testing due to its high sensitivity toward dyes and trace molecular contaminants. However, its practical application to filament-type herbal materials su... read more

Translating lineage-resolved single-cell programs to bulk clinical prognosis: Adversarial generative learning reveals lineage-informed immune - stromal - epithelial risk signatures.

Computational biology and chemistry Jun 2, 2026

BACKGROUND: Breast cancer transcriptional programs span malignant epithelial cells, and the tumor microenvironment (TME), yet tumor-normal contrasts are often confounded by lineage identity and cell-type composition, limiting clinically actionable si... read more

Heritability of the Olfactory Bulb and Its Associated Brain Network.

NeuroImage Jun 2, 2026

The olfactory bulb (OB), the first central relay of the olfactory pathway, plays a critical role in odor perception and exhibits remarkable structural plasticity shaped by environmental influences. This raises a fundamental question about the extent ... read more

Synaptic dysfunction-related gene expression spatially correlates with widespread cortical network atrophy in temporal lobe epilepsy.

Neurobiology of disease Jun 2, 2026

Temporal lobe epilepsy (TLE) exhibits marked lateralized gray matter alterations, yet whole-brain network vulnerability patterns, particularly those independent of seizure laterality, remain incompletely understood. Furthermore, the spatial correspon... read more

Cross-study interpretable machine learning for prediction of NH3 and H2S emissions and identification of operational windows during composting.

Bioresource technology Jun 2, 2026

Accurate prediction of NH3 and H2S emissions is essential for odor-risk control and process management during composting, but remains challenging because emissions are driven by nonlinear, stage-dependent, and interacting operating conditions. In thi... read more

At the Decision Point Before Scintigraphy: AI-Echo in Suspected ATTR Cardiac Amyloidosis.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Jun 2, 2026

Prediction of circular RNA-RNA binding protein binding sites based on structural feature and dynamic feature screening.

International journal of biological macromolecules Jun 2, 2026

circular RNA (circRNA)-RNA binding protein (RBP) interactions play critical roles in various diseases, and predicting their binding sites can elucidate regulatory mechanisms and identify potential therapeutic targets. Current deep learning methods fo... read more

Artificial Intelligence Medical Compendium