AI Medical Compendium

Bayesian hyper-parameter optimization of physics-informed neural networks to a nonlocal nonlinear Schrödinger equation.

Chaos (Woodbury, N.Y.) Jun 1, 2026

In previous applications of a physical information neural networks (PINN) algorithm, the adjustment of hyper-parameter combinations for neural networks has predominantly been conducted manually. This manual configuration strategy often suffers from i... read more

Pattern dynamics and practical application of infectious disease reaction-diffusion systems based on higher-order networks and physics-informed neural networks.

Chaos (Woodbury, N.Y.) Jun 1, 2026

Traditional epidemic models have limitations in capturing spatial heterogeneity, describing population-oriented migration, and integrating real data. This study constructs reaction-diffusion and reaction-advection-diffusion systems based on higher-or... read more

Generative Artificial Intelligence in the Lives of Young Adults: Exploring Motivations and Mental Health.

The Journal of adolescent health : official publication of the Society for Adolescent Medicine Jun 1, 2026

PURPOSE: Young people have rapidly adopted generative artificial intelligence (genAI) technology, yet little is known about how genAI use relates to mental health. This observational study examined associations between genAI use motivations-social-em... read more

Partial Differential Equation (PDE)-Based Spatial Pharmacometrics in NONMEM: Method of Lines (MOL) Implementation with AI-Assisted Model Development.

Journal of clinical pharmacology Jun 1, 2026

Spatial heterogeneity in drug distribution, particularly within solid tumors, compromises target engagement, yet is rarely represented in population pharmacokinetic analyses. Standard "well-stirred" models fail to capture intratumoral gradients. Reac... read more

How Artificial Intelligence Is Changing Neonatal Care.

Advances in neonatal care : official journal of the National Association of Neonatal Nurses Jun 1, 2026

Plasticizer-responsive molecular axes in heart failure: a subtype-aware toxicogenomic framework relevant to environmental health.

Environment international Jun 1, 2026

Environmental exposure to synthetic chemicals has been associated with cardiovascular risk, yet mechanistic connections between real-world chemical mixtures and heart failure heterogeneity remain incompletely characterized. Here we present a mixture-... read more

STR-GNN: stability-regularized graph neural networks for suppressing spurious temporal variations in dynamic community detection.

Scientific reports Jun 1, 2026

The study of temporal graphs frequently encounters spurious temporal fluctuations, wherein transient noise, inadequate observations, or ephemeral structural perturbations result in unstable and inconsistent community assignments. In dynamic networks,... read more

Data-driven simulator of multi-animal behavior with unknown dynamics via reinforcement learning.

iScience Jun 1, 2026

Advances in imitation learning for robotics have expanded the possibilities for imitating human and animal movements. However, simulating realistic multi-animal behaviors in biology remains challenging because transition models are often unknown. Sin... read more

Mental Health Risk Detection From Social Media Text Data: A Scoping Review of the Machine Learning Research Landscape.

PsyCh journal Jun 1, 2026

Machine learning approaches have been increasingly applied to social media text data for mental health risk detection. However, existing studies vary widely in target outcomes, data sources, labeling strategies, and evaluation practices, and a struct... read more

A framework for clinical validation of generative artificial intelligence therapeutics.

World psychiatry : official journal of the World Psychiatric Association (WPA) Jun 1, 2026

Artificial Intelligence Medical Compendium