AI Medical Compendium

Integrative Bioinformatics, Experimental Validation, and Interpretable Machine Learning Reveal Oxyresveratrol-Mediated Protection Against Cadmium-Induced Lung Adenocarcinoma-Related Transcriptional Dysregulation.

Environmental toxicology May 12, 2026

Cadmium (Cd) is a toxic heavy metal strongly implicated in lung adenocarcinoma (LUAD) through mechanisms involving oxidative stress, epigenetic dysregulation, and chronic inflammation. This study aimed to identify Cd-responsive genes associated with ... read more

Occupational therapists and artificial intelligence: The past, a disruptive present and the uncertainty ahead.

Work (Reading, Mass.) May 12, 2026

BackgroundArtificial Intelligence (AI) is rapidly transforming multiple sectors, including healthcare, raising important questions about its implications for occupational therapy. As an evidence-based profession grounded in human interaction, clinica... read more

Strategic AI-human collaboration for biology assessment design: a practical workflow.

Journal of microbiology & biology education May 12, 2026

Biology instructors increasingly use generative artificial intelligence (AI) tools to create assessment rubrics but lack systematic workflows for ensuring scientific accuracy in AI-generated criteria. This article presents a five-phase workflow for s... read more

WormSpot: a machine learning-powered viability scoring platform in C. elegans for Candida pathogenicity studies.

Microbiology spectrum May 12, 2026

UNLABELLED: Invasive Candida infections pose a critical health challenge, exacerbated by emerging antifungal resistance. Caenorhabditis elegans (C. elegans) offers a genetically tractable and scalable model for studying Candida pathogenicity, yet con... read more

Survey of student perceptions and use of artificial intelligence when reading primary literature in the biological sciences.

Journal of microbiology & biology education May 12, 2026

Artificial intelligence (AI) tools are increasingly used by students in higher education, yet little is known about how they are applied when reading primary scientific literature. This study investigated how undergraduate biology students use AI whi... read more

Advancing forward osmosis predictions: A deep learning-based surrogate modeling approach.

Journal of the science of food and agriculture May 12, 2026

BACKGROUND: This study presents a deep learning-based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data-driven approaches, several machine... read more

Three-dimensional modeling of sensory nerve architecture and eosinophil and mast cell interactions in eosinophilic gastrointestinal disease.

Journal of leukocyte biology May 12, 2026

Increased sensory nerve density has been described in type II inflammatory conditions and is linked to eosinophil and mast cell infiltration and neuropathic pain. To examine these relationships in eosinophilic gastrointestinal diseases (EGIDs), we de... read more

Experiences and Perceived Influence of the Artificial Intelligence-Based Health Education Accurately Linking System (AI-HEALS) on Health Behaviors Among Patients With Type 2 Diabetes: Qualitative Study.

Journal of medical Internet research May 12, 2026

BACKGROUND: The management of type 2 diabetes requires sustained self-management across diet, physical activity, medication adherence, and blood glucose monitoring; however, maintaining these behaviors in daily life remains difficult for many patient... read more

A geometry-aware generative framework integrating GPS-VAE and Transformer-SELFIES for structure-based de novo drug design.

Journal of molecular modeling May 12, 2026

CONTEXT: Designing novel ligands tailored to specific protein binding pockets remains a core objective in structure-based de novo drug design (SBDD). However, deep generative approaches encounter key challenges: standard graph neural networks fail to... read more

Real-world insights into coronary CTA prognostication: value of semiquantitative scores.

La Radiologia medica May 12, 2026

PURPOSE: Several semiquantitative coronary computed tomography angiography (CCTA) scores including different parameters describing stenosis degree, plaque burden and plaque features have been developed for diagnostic and prognostic purposes. However,... read more

Artificial Intelligence Medical Compendium