AI Medical Compendium

Bioactive compounds for neuroinflammation and neuropathic pain management: molecular and cellular mechanisms.

Inflammopharmacology Jun 2, 2026

Bioactive compounds are a promising multi-target strategy for managing neuroinflammation and chronic pain. Bioactive compounds such as Paeonol, Kaempferol, and Acteoside demonstrate significant analgesic and anti-inflammatory effects by inhibiting pr... read more

Integrative Transcriptomic, Network, and Machine Learning Analyses Identify Genistein and Resveratrol-Associated Therapeutic Targets in Alzheimer's Disease.

Molecular neurobiology Jun 2, 2026

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by complex molecular alterations across multiple brain regions. In this study, we applied an integrative systems-level framework combining multi-region transcriptom... read more

A machine learning‑enhanced serum metabolomics model for non‑invasive detection of gastric cancer.

Metabolomics : Official journal of the Metabolomic Society Jun 2, 2026

BACKGROUND: Gastric cancer (GC) is a leading cause of cancer-related deaths globally, with early detection crucial for improving survival. Current non-invasive biomarkers lack sensitivity in early stages, necessitating more accurate diagnostic tools.... read more

ABCA8 drives bone loss via disrupting Th17/Treg imbalance: a novel immunometabolic target for osteoporosis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.] Jun 2, 2026

BACKGROUND: Osteoporosis is a metabolic bone disease characterized by reduced bone mass and microarchitectural deterioration, with complex involvement of molecular networks and immune-associated transcriptional dysregulation. OBJECTIVE: This study ai... read more

Symbolic Acceleration and Embodied Integration: Toward a Developmental Framework of Identity Reconstruction.

Integrative psychological & behavioral science Jun 2, 2026

Identity is a multi-level integrative process involving coordinated development across affective, symbolic, and embodied systems-a process of progressive self-organization that is biologically paced, relationally embedded, and irreducibly enacted thr... 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

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

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

Artificial Intelligence Medical Compendium