AI Medical Compendium

Fiducial Confidence Intervals for Agreement Measures Among Raters Under a Generalized Linear Mixed Effects Model.

Statistics in medicine May 1, 2026

A generalization of the classical concordance correlation coefficient (CCC) is considered under a three-level design where multiple raters rate every subject over time, and each rater is rating every subject multiple times at each measuring time poin... read more

Overexpression of NMNAT3 suppresses melanoma progression by reprogramming NAD⁺ metabolism.

Translational oncology May 1, 2026

BACKGROUND: Melanoma represents a highly aggressive and metastatic form of malignant skin cancer. that remains challenging to treat clinically. Tumor cells often reprogram nicotinamide adenine dinucleotide (NAD⁺) metabolism to meet the demands of rap... read more

Predicting and structuring adolescent academic burnout: A multi-ecological framework via machine learning and network analysis.

Acta psychologica May 1, 2026

Academic burnout is a prevalent concern with significant implications for adolescent development, whereas variable-centered approaches often provide limited insight into its multi-ecological heterogeneity. This study combines machine learning (ML) wi... read more

Divergent outcomes of AI anxiety: A dual-pathway model of cognitive appraisal on learning behaviors among university students.

Acta psychologica May 1, 2026

The rapid integration of artificial intelligence (AI) into higher education is producing divergent learning behaviors, as student AI anxiety appears to both hinder and motivate learning. However, the psychological mechanisms that explain why these di... read more

Integrative multi-omics analysis identifies coronin 1C as a potential mediator linking circadian rhythm disruption to neuroimmune dysregulation in ischemic stroke.

International immunopharmacology May 1, 2026

INTRODUCTION: Circadian rhythm disruption (CRD) is a major driver of immune dysregulation; however, whether CRD promotes ischemic stroke (IS) progression through immune imbalance and the underlying molecular mechanisms remain unclear. METHODS: Transc... read more

Improved hydro-epidemiological prediction of faecal indicator organisms using knowledge distillation inspired machine learning through dimensionality reduction.

Journal of environmental management May 1, 2026

Reliable prediction of Faecal Indicator Organisms (FIOs) in coastal bathing waters remains a major challenge because FIO concentrations could vary rapidly with the flow, meteorological, and hydrological conditions. Mechanistic models require high com... read more

Development and validation of a machine learning model and a web tool for predicting the risk of Crohn's disease diagnosis in Chinese patients.

Public health May 1, 2026

OBJECTIVES: Diagnostic delay in Crohn's disease (CD) may increase the risk of poor prognosis. This study developed and validated a machine learning (ML) model for clinicians to conduct preliminary diagnosis and refer suspected patients. STUDY DESIGN:... read more

The convergence of AI-driven engineering biology and emerging technologies advancing globally networked autonomous biofoundries.

Current opinion in biotechnology May 1, 2026

Since the emergence of synthetic biology, biofoundries have developed as enabling infrastructures that scale engineering biology globally. Landmark initiatives, such as Genome Project-Write, JCVI-syn3.0, Sc2.0, SynMoss and the Synthetic Human Genome ... read more

Accuracy of large language model-based artificial intelligence tools for equine topics.

Journal of equine veterinary science May 1, 2026

BACKGROUND: Artificial intelligence (AI) platforms are becoming increasingly popular as resources for equine information. However, these platforms generate responses from a wide range of sources and do not always distinguish between fact and opinion.... read more

Marine microalgal biofuels: toward a systems-based circular biofactory.

Trends in biotechnology May 1, 2026

Marine microalgae are frequently promoted as sustainable biofuel feedstocks because of their halotolerance, high photosynthetic efficiency, and limited land requirements, yet commercial deployment remains elusive. This gap is primarily systemic rathe... read more

Artificial Intelligence Medical Compendium