AI Medical Compendium

Deep learning-driven decoding of ubiquitination: from regulatory mechanisms to targeted protein degradation.

Biology direct Jun 1, 2026

BACKGROUND: Ubiquitination is a highly dynamic post-translational modification that plays central roles in protein homeostasis, signal transduction, immune regulation, and cell fate control. Through the coordinated actions of E3 ubiquitin ligases and... read more

Development and validation of a machine learning model for predicting distant metastasis in patients with renal cell carcinoma: a population-based study.

World journal of surgical oncology Jun 1, 2026

BACKGROUND: Distant metastasis is the leading cause of death in renal cell carcinoma (RCC), yet accurate prediction tools remain lacking. We aimed to develop and validate a machine learning model to predict synchronous distant metastasis-defined as m... read more

Precision Medicine Gene Network Analyser: part I-cancer driver gene identification through network topology and ensemble machine learning.

Genomics & informatics Jun 1, 2026

PURPOSE: Precision oncology depends on identifying cancer driver genes and linking them to targeted therapies. Current methods using curated gene sets or generic classifiers often miss biologically relevant patterns in complex gene interaction networ... read more

Ontology-Enhanced Deep Learning for Mechanistic Prediction of Drug-Drug Interactions: A Clinically Interpretable Framework.

Journal of clinical pharmacology Jun 1, 2026

Drug-drug interactions (DDIs) have critical impacts on patient safety and healthcare efficiency because of their significant contributions to adverse drug reactions. Accurately predicting DDIs and their biological mechanisms is therefore essential, y... read more

Integration of Raman Spectroscopy and Metabolomics for Early Breast Cancer Detection and Classification.

Cancer medicine Jun 1, 2026

Breast cancer, now the fourth leading cause of cancer-related mortality worldwide, necessitates early detection for improved clinical outcomes. Conventional histopathology, though widely used, is invasive and subjective, limiting its utility in early... read more

Machine Learning and Clustering Analysis of Class II and III Malocclusions.

Clinical and experimental dental research Jun 1, 2026

OBJECTIVES: This prospective observational study aims to accurately classify individuals as skeletal class II/III by applying several machine-learning algorithms. Furthermore, using the k-means clustering analysis deepened our understanding of the ch... read more

Comorbidities for Predicting Progression Independent of Relapse Activity in Multiple Sclerosis Treated With B-Cell Depletion.

European journal of neurology Jun 1, 2026

BACKGROUND: Progression independent of relapse activity (PIRA) has been shown to account for a majority of the disability accumulation in relapsing-remitting multiple sclerosis (RRMS) patients treated with disease-modifying therapies. While comorbidi... read more

Artificial Intelligence-Enhanced Implantable Loop Recorders in Pediatric Patients: Effects on Device Performance and Clinical Workflow in a Single-Center Experience.

Journal of cardiovascular electrophysiology Jun 1, 2026

INTRODUCTION: Artificial intelligence (AI)-based algorithms have been developed to reduce alert burden in patients with implantable loop recorders (ILRs), but their performance in pediatric populations has not been previously evaluated. METHODS: We r... read more

[A nomogram combining ultrasound radiomics and clinical features for predicting pathological invasiveness of papillary thyroid carcinoma].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Jun 1, 2026

OBJECTIVES: To develop a nomogram model combining ultrasound radiomics and clinical features and to evaluate its predictive value for pathological invasiveness of papillary thyroid carcinoma (PTC). METHODS: This study included 224 patients diagnosed ... read more

Computational Quantification of Peristalsis in Preclinical Mouse Models Using Smartphone Videography.

Neurogastroenterology and motility Jun 1, 2026

BACKGROUND: A number of diseases and medical interventions affect gastrointestinal motility. However, quantitative methods for measuring effects on peristalsis in live animals are uncommon, cumbersome, and lack standardization. METHODS: Here we prese... read more

Artificial Intelligence Medical Compendium