AI Medical Compendium

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

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

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

Large Language Models for Cholesteatoma Diagnosis: A Pathology-Validated Study.

The Journal of craniofacial surgery Jun 2, 2026

OBJECTIVES: To evaluate the diagnostic performance of the large language model (LLM) Gemini 2.5 for cholesteatoma detection using histopathology as the reference standard, and to compare its performance with that of routine radiologic assessment. A s... read more

Characterization of vascular tortuosity throughout the murine oxygen-induced retinopathy model of ischemic retinopathy.

JCI insight Jun 2, 2026

Vascular tortuosity (VT) is a critical biomarker of disease progression and decision to treat ischemic retinal disorders, particularly retinopathy of prematurity (ROP). The murine oxygen-induced retinopathy model is the most widely-used model of isch... read more

AI-Driven Design and Clinical Translation of Nucleotide-Peptide and Peptide-Drug Conjugates.

ACS biomaterials science & engineering Jun 2, 2026

While nucleotide-peptide conjugates and peptide-drug conjugates demonstrate a considerable evolution as next-generation therapeutics, the successful translation of these complex agents relies on advances in bioconjugation strategies. By anchoring nuc... read more

Layerwise stratification and band reordering in twisted multilayer MoTe2.

Proceedings of the National Academy of Sciences of the United States of America Jun 2, 2026

We introduce a physics-informed training-data generation strategy that efficiently captures the complete interlayer interactions in multilayer moiré systems, enabling a machine-learning force field transferable across layer numbers and stacking confi... read more

Multi-omics integration reveals convergent extracellular matrix remodelling and lipid metabolic reprogramming as central axes of adipocyte differentiation from mouse embryonic stem cells.

Adipocyte Jun 2, 2026

Adipogenesis from mouse embryonic stem cells (mESCs) offers a tractable model for dissecting early adipocyte commitment, yet the mechanisms coordinating this transition across multiple biological layers remain incompletely understood. Here we present... read more

Improving Kinetic Prediction and Structural-Electronic Mechanistic Coherence in the Fenton Process via a Cross-Scale Machine-Learning Framework.

Environmental science & technology Jun 2, 2026

Accurately predicting and understanding contaminant degradation kinetics in advanced oxidation processes remains challenging due to the fragmented and even contradictory structure- and electronic-driven mechanistic interpretations, which traditional ... read more

From Empirical Ratio Tuning to Mechanistic Insight: Decoding NiO-ZnO Heterojunction Effects in Gas Sensing via Explainable Machine Learning.

ACS sensors Jun 2, 2026

P-n heterostructures have been widely recognized as an effective strategy for enhancing the sensing performance of metal oxide semiconductor gas sensors. However, the regulatory mechanism underlying the NiO-ZnO composite ratio and its influence on ga... read more

Artificial Intelligence Medical Compendium