AI Medical Compendium

Exosomes in cancer drug resistance: dual roles in therapy failure and emerging precision therapeutics.

Cancer cell international Jul 20, 2026

Exosomes play a key role in cancer, functioning both as drivers of drug resistance and as tools for therapy. Tumor-derived exosomes facilitate intercellular communication through selective transfer of bioactive cargo, including proteins (e.g., P-gp, ... read more

Artificial intelligence in echocardiography: a position statement from the British Society of Echocardiography.

Echo research and practice Jul 20, 2026

Echocardiography is a foundational imaging modality for assessing cardiac structure and function, with a long history of technological advancement. As artificial intelligence (AI) becomes increasingly embedded across healthcare, its potential to enha... read more

A hierarchical prototype-graph with optimal-transport matching for few-shot rice disease recognition.

Scientific reports Jul 20, 2026

Accurate identification of rice diseases from field images is critical for crop health monitoring and sustainable agriculture, particularly in low-resource environments. However, most deep learning approaches depend on large-scale labeled datasets an... read more

Development of a Screening Model for Exercise-Induced Desaturation by Machine Learning Method.

Tuberculosis and respiratory diseases Jul 20, 2026

BACKGROUND: Exercise-induced desaturation (EID) during the 6-minute walk test (6MWT) is an established marker of adverse outcomes in patients with chronic obstructive pulmonary disease (COPD). We therefore sought to develop a screening-oriented machi... read more

CYPMol: A Single Model Framework Integrating Functional Residues with Protein Features and Molecule Embeddings to Predict CYP Substrates, Inhibitors, and Metabolism Sites.

Journal of chemical information and modeling Jul 20, 2026

Cytochrome P450 enzymes (CYPs) mediate xenobiotic metabolism in humans, and models for predicting CYP-molecule interactions and reactions, including substrates, inhibitors, and metabolism sites, are valuable tools for drug development. However, curre... read more

Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With Artificial Intelligence in Healthcare: A Systematic Review and Meta-Analysis.

JMIR medical education Jul 20, 2026

BACKGROUND: Artificial intelligence (AI) is increasingly encountered in clinical care and medical education, but medical students' attitudes, perceptions, and self-reported familiarity have been assessed using heterogeneous survey instruments, AI ref... read more

Multiomics integrative bioinformatics analysis of gene expression characteristics and molecular mechanisms in preeclampsia placental tissue.

Artificial cells, nanomedicine, and biotechnology Jul 20, 2026

Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertension and proteinuria after 20 weeks of gestation, which can cause multi-organ damage and life-threatening outcomes for both mothers and foetuses. Its pat... read more

WGCNA combined with machine learning identifies histone deacetylation-related diagnostic features for pediatric septic shock.

The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology Jul 20, 2026

Pediatric septic shock is a severe form of sepsis with high mortality. Histone deacetylation is involved in sepsis-related disorders. This study investigated the diagnostic value of histone deacetylation-related genes in pediatric septic shock. Three... read more

Computational strategies for allosteric drug discovery: from cryptic pocket detection to rational design.

Chemical communications (Cambridge, England) Jul 20, 2026

Allostery offers a powerful route to regulate protein function and expands drug discovery beyond the orthosteric paradigm. By acting at sites distinct from the active site, allosteric modulators can achieve greater selectivity, reduce off-target effe... read more

MSstatsQC-ML: A Supervised Machine Learning Approach to Monitor System Suitability and Quality Control in Mass Spectrometry-Based Proteomics.

Journal of proteome research Jul 20, 2026

Mass spectrometry offers numerous ways to analyze the composition, function, and interactions of complex proteomes. Unfortunately, it suffers from the variation introduced by technological artifacts, which reduces the reproducibility and reliability ... read more

Artificial Intelligence Medical Compendium