AI Medical Compendium

Photodegradation behavior, toxicity assessment, and machine learning model of liquid crystal monomers on soil minerals and soils.

Journal of hazardous materials May 15, 2026

Liquid crystal monomers (LCMs) are proposed as persistent, bioaccumulative, and toxic emerging contaminants of global concern; however, their transformation behavior and associated risk in soil have rarely been reported. This study investigates the p... read more

Electrochemical sensing device based on Cu/PPy heterostructure: Detection of nitrite at low reduction potentials and machine learning-driven data analysis visualisation.

Journal of hazardous materials May 15, 2026

To achieve highly selective, low-potential nitrite detection, this study developed a self-supporting sensing electrode based on the synergistic effect of copper and polypyrrole. A Cu/PPy/CC composite electrode was constructed on a carbon cloth substr... read more

Huoxue Jiedu formula attenuates myocardial ischemia-reperfusion injury by modulating LAPTM4B/mTORC1/TFEB pathway-mediated autophagic flux.

Phytomedicine : international journal of phytotherapy and phytopharmacology May 15, 2026

BACKGROUND: Myocardial ischemia-reperfusion injury (MIRI) severely limits the benefits of revascularization in acute myocardial infarction, with impaired autophagic flux being a central pathological mechanism. The Huoxue Jiedu Formula (HXJDF), a trad... read more

Quantification of edge-enhancing effects using accelerated deep learning reconstructed orbital MRI sequences.

European journal of radiology open May 15, 2026

RATIONALE AND OBJECTIVES: To qualitatively and quantitatively compare image quality, edge sharpness, and internal-structure delineation of accelerated deep learning-reconstructed turbo spin-echo (TSEDLR) sequences versus conventionally reconstructed ... read more

Local Quadrupole Ellipticity as Predictor of Anion-Affinity in Nanographenes.

Journal of computational chemistry May 15, 2026

Anion binding to nanographenes is governed by noncovalent interactions, particularly anion-π interactions in electron-deficient aromatic regions and CH---anion hydrogen bonding in electron-rich domains. These interactions are primarily driven by elec... read more

Machine learning in diagnostic stewardship: A technical approach in improving diagnostic accuracy, optimizing antibiotic use in false positive CSF cultures.

Journal of microbiological methods May 15, 2026

Diagnostic stewardship emphasises ordering the right tests, at the right time for the patient and also promotes the judicious use of rapid and accurate molecular diagnostic tools to enable the initiation of proper antibiotic therapy, while avoiding e... read more

Human rights violations reporting dataset.

Data in brief May 15, 2026

Human rights research increasingly employs computational text analysis, but existing datasets provide either document-level aggregations or event-level extractions from news sources, limiting fine-grained analysis of primary organizational reports. W... read more

Efficacy and safety evaluation of artificial intelligence-identified antimicrobial peptides targeting avian pathogenic Escherichia coli in broiler chickens.

Journal of animal science and biotechnology May 15, 2026

BACKGROUND: The overuse of antibiotics in both veterinary and human medicine has resulted in the emergence of antibiotic-resistant bacteria, prompting a search for effective alternatives. Antimicrobial peptides (AMPs) are short, often cationic, pepti... read more

Development and validation of an interpretable machine learning model for predicting 30-day postoperative mortality in lung transplant recipients with pneumoconiosis.

Chinese medical journal May 15, 2026

Artificial Intelligence-Enhanced Identification of Incidental Findings in Prostate MRI.

Investigative radiology May 15, 2026

OBJECTIVES: The use of prostate magnetic resonance imaging (MRI) is increasing, and coverage often captures substantial portions of the pelvis, visualizing findings outside the prostate gland. The objective of this study was to evaluate the feasibili... read more

Artificial Intelligence Medical Compendium