AI Medical Compendium

Generative artificial intelligence and large language models in pharmaceutical formulation and personalized pharmacy: a review of opportunities, technical constraints, and regulatory readiness.

Drug development and industrial pharmacy Apr 3, 2026

OBJECTIVE: This article reviews the emerging applications of generative artificial intelligence (GenAI) and large language models (LLMs) in areas beyond early drug discovery, specifically focusing on drug formulation and personalized pharmacy. SIGNIF... read more

Objective assessment of academic performance using virtual reality and machine learning in early adolescents.

Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence Apr 3, 2026

Early identification of academic deficits facilitates timely and effective interventions that are essential for individual development and societal progress. Conventional assessment methods provide insights through demographic and prior academic reco... read more

CEREBLEED: Automated Quantification and Severity Scoring of Intracranial Hemorrhage on Noncontrast CT.

Neurosurgery Apr 3, 2026

BACKGROUND AND OBJECTIVES: Standardized interpretation of intracranial hemorrhage (ICH) severity on noncontrast computed tomography (NCCT) is limited by the absence of objective, reproducible tools for quantifying lesion burden and its anatomic impac... read more

Genomic and evolutionary factors influencing the prediction accuracy of optimal growth temperature in prokaryotes.

mSystems Apr 3, 2026

Bacteria and archaea have evolved diverse genomic adaptations to thrive across various temperatures. These adaptations include genome sequence optimizations, such as increased GC content in rRNA and tRNA, shifts in codon and amino acid usage, and the... read more

Exploring novel kinetics of automated H2O2 nebulization: a breakthrough in SARS-CoV-2 elimination.

Microbiology spectrum Apr 3, 2026

Although hydrogen peroxide (H2O2) nebulization has shown promise for reducing SARS-CoV-2 loads in healthcare settings, its precise kinetics and real-world efficacy remain incompletely understood. To address this, we conducted a prospective environmen... read more

Artificial intelligence for nursing data visibility in health technology assessment: policy architecture and implementation considerations.

Contemporary nurse Apr 3, 2026

Background: Health technology assessment (HTA) increasingly informs reimbursement, adoption, scale-up, and disinvestment decisions, yet many evidentiary traditions remain best suited to discrete, attributable interventions. Continuous, multidisciplin... read more

Computational models for predicting bone fracture healing: a review of modeling approaches, predictions, and emerging strategies.

Biomechanics and modeling in mechanobiology Apr 3, 2026

BACKGROUND AND OBJECTIVE: The development of computational models for predicting bone fracture healing process holds strong potential to optimize therapeutic management in non-unions and delayed healing, reducing healthcare costs and disability-adjus... read more

Machine learning-based prediction of dynamic heterosis for plant height with pathway biomarkers in rice.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Apr 3, 2026

The metabolomic landscape of dynamic heterosis for plant height was displayed in rice. Heterosis-associated pathways across most developmental stages were developed into robust pathway biomarkers. The development of robust biomarkers enables accurate... read more

Temporal AI-assisted compressed sensing for high-resolution, motion-robust small-bowel MR enterography without antiperistaltic agents: a feasibility study.

European radiology Apr 3, 2026

OBJECTIVES: To evaluate whether temporal AI-assisted compressed sensing (tACS) enables high-resolution, motion-robust magnetic resonance enterography (MRE) without antiperistaltic agents and improves acquisition efficiency and motility visualization.... read more

Deciphering stone mining-induced hazardous heavy metal contamination in agricultural soils using source attribution, health-dietary risk analysis, and machine learning-driven insights.

Environmental geochemistry and health Apr 3, 2026

Mining activities significantly contribute to the release of hazardous heavy metals (HHMs) into agricultural soils, especially where stone extraction is intensive. This study assessed metal content, source identification, and possible health risks as... read more

Artificial Intelligence Medical Compendium