AI Medical Compendium

Feasibility and challenges of large language model (LLM)-generated neonatal resuscitation simulations: a multicenter exploratory study.

Scandinavian journal of trauma, resuscitation and emergency medicine May 25, 2026

BACKGROUND: Simulation-based training (SBT) in neonatal resuscitation has positive impact on educational and neonatal outcomes. However, the implementation of well-designed SBT imposes multifaceted demands on instructors. Large language models (LLMs)... read more

Fine-tuning sequence-to-expression models on personal genome and transcriptome data.

Genome biology May 25, 2026

BACKGROUND: Genomic sequence-to-expression deep learning models, which are trained to predict gene expression and other molecular phenotypes across the reference genome, have recently been shown to have poor out-of-the-box performance in predicting g... read more

Constructing Spectroscopic-Accuracy Potential Energy Surfaces beyond CCSD(T) via Active and Transfer Learning: A Case Study of H2O-Ne.

The journal of physical chemistry letters May 25, 2026

High-resolution rovibrational spectroscopy and quantum dynamics are highly sensitive to the accuracy of the potential energy surfaces (PESs). Although machine learning (ML) models have shown great PES fitting capability, achieving spectroscopic accur... read more

Mitigating Misinformation in Health and Nutrition: Assessing Risk, Harm, and Scalable Solutions.

American journal of health promotion : AJHP May 25, 2026

Mechanism-Driven Self-Powered Biosensing: Integrating Entropy-Controlled Nanocatalysis with Machine Learning on a Generalizable Hydrogel Platform.

Analytical chemistry May 25, 2026

Conventional self-powered biosensors often face a trade-off between sensitivity and operational stability, largely hindered by the intrinsic instability of biocatalysts and linear signal-transduction mechanisms. Herein, we propose a mechanism-driven ... read more

Quantifying and Interpreting Solvation Power of Cyclic Carbonate by Chemical Calculation and Machine Learning.

The journal of physical chemistry letters May 25, 2026

Ion dynamics in carbonate electrolytes are fundamentally governed by the solvation power of cyclic solvents, a property whose quantification remains elusive because of the intricate competition between electronic and steric effects. We decouple these... read more

Mapping the Comatose Brain: Can Machine Intelligence Learn Paths to Recovery?

Critical care medicine May 25, 2026

Endurance exercise remodels pulmonary vein sleeve myocytes and promotes a proarrhythmic atrial substrate.

European heart journal May 25, 2026

BACKGROUND AND AIMS: The risk of atrial fibrillation (AF) is higher in endurance athletes. Pulmonary vein isolation (PVI) is effective in this group, implicating pulmonary vein (PV) remodelling, but underlying mechanisms are unclear. This study inves... read more

Integrative machine learning reveals interplay between epithelial and endothelial cells elevates mixed heavy metal-related colorectal cancer risk.

Journal of biomedical research May 25, 2026

Heavy metal contamination has become an emerging global health concern, yet the promoting effects of mixed heavy metal exposure on colorectal cancer risk remains poorly understood. In this study, plasma concentrations of 25 heavy metals were obtained... read more

Emerging analytical technologies for detecting microplastics and nanoplastics in food: bridging challenges and innovations.

Analytical and bioanalytical chemistry May 25, 2026

The ubiquitous presence of microplastics (MPs, < 5 mm) and nanoplastics (NPs, < 1 μm) in food systems has raised serious concerns regarding food safety and human health. Accurate detection and quantification, however, remain formidable challenges due... read more

Artificial Intelligence Medical Compendium