AI Medical Compendium

Mechanistic Insights into BDE-153-Induced Idiopathic Pulmonary Fibrosis through Network Toxicology, Machine Learning, and Cellular Validation.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association May 20, 2026

Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease with limited therapeutic options. Polybrominated diphenyl ethers (PBDEs) are persistent environmental pollutants, yet whether the dominant human congener, 2,2',4,4',5,5'-h... read more

Deep learning based automated detection and grading of oral epithelial dysplasia: A comparative histopathological image analysis.

Journal of dentistry May 20, 2026

OBJECTIVE: To develop and comparatively evaluate multiple deep learning architectures for automated detection and grading of oral epithelial dysplasia in hematoxylin and eosin (H&E)-stained histopathological images. METHODS: A total of 2,080 digitize... read more

Lessons from Smart Cart 2.0: Considerations for integrating purchasing data into healthy eating interventions with AI approaches.

The Journal of nutrition May 20, 2026

The increasing prevalence of chronic diseases related to suboptimal diet quality in the US and worldwide contributes to burgeoning healthcare costs and excess death and disability. Changing dietary intake is essential but difficult because dietary be... read more

Optimizing Post-printing Drying Conditions for Point-of-Care Manufacturing of SSE-3D Printed Medicines.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences May 20, 2026

Post-printing drying conditions could affect the quality of oral use printlets elaborated by semi-solid extrusion (SSE) 3D printing, yet their systematic characterization as Critical Process Parameters (CPPs) remains limited. This study evaluated the... read more

Exploration of steroidal alkaloids: Integrating pharmacognosy, chemoinformatics and artificial intelligence for application diversification.

Steroids May 20, 2026

Steroidal alkaloids are a structurally diverse class of nitrogen-containing natural products with strong pharmacological potential, including anticancer, anti-inflammatory, and neuroprotective activities. Despite their therapeutic potential, clinical... read more

Gene expression integration and similarity score based modeling improve risk stratification in idiopathic venous thrombophilia.

Journal of thrombosis and haemostasis : JTH May 20, 2026

BACKGROUND: Idiopathic venous thromboembolism (VTE) occurs in the absence of provoking factors, limiting the efficacy of current risk stratification. In parallel, the lack of integration between transcriptomic data and established risk factors preven... read more

Machine Learning-Based Prediction of Central Line-Associated Bloodstream Infection in Children with Acute Leukemia.

The Journal of hospital infection May 20, 2026

Central line-associated bloodstream infection (CLABSI) is a frequent and severe complication in children undergoing treatment for acute leukemia, substantially compromising therapeutic outcomes. This study aimed to develop a machine learning-based pr... read more

Mitigating Algorithmic Bias in AI-Powered Toxicology: Frameworks for Explainable and Equitable Predictions in Human Health and Environmental Safety.

Toxicology letters May 20, 2026

The rapid integration of artificial intelligence (AI) and machine learning into predictive toxicology has transformed chemical hazard identification, toxicity endpoint forecasting, and risk assessment for pharmaceuticals, environmental pollutants, an... read more

Multi-dimensional analysis revealing the mechanism of T-2 toxin driving liver fibrosis: integration of network toxicology, machine learning, experimental verification, and molecular docking.

Chemico-biological interactions May 20, 2026

BACKGROUND: T-2 toxin is a highly toxic mycotoxin commonly present in food and the environment, with accumulating evidence supporting its hepatotoxic potential. However, the molecular events linking T-2 toxin exposure to liver fibrosis remain insuffi... read more

Artificial intelligence-based vascular pattern profiling predicts prognosis and therapeutic response in hepatocellular carcinoma.

Journal of advanced research May 20, 2026

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by active angiogenesis and heterogeneous vascular patterns. However, vascular pattern profiling in tumors and its clinical significance remain unexplored. OBJECTIVES: This study aimed to dev... read more

Artificial Intelligence Medical Compendium