AI Medical Compendium

Potential of machine learning for prevention and control of neglected tropical diseases: a scoping review.

Communications medicine Jun 2, 2026

BACKGROUND: Neglected Tropical Diseases disproportionately affect populations in Africa and other low- and middle-income countries. Machine learning has potential to improve disease prediction, detection and control, but its use in neglected tropical... read more

A multi-scale supervised contrastive framework for cross-domain soybean disease classification using leaf and UAV imagery.

Scientific reports Jun 2, 2026

Accurate and scalable soybean crop health monitoring remains a major challenge in precision agriculture due to environment variability, inconsistent lighting conditions, and significant differences between the ground-level leaf imagery and UAV-based ... read more

Metab8D: a metabolic regulome network from multiomics and machine learning.

Communications biology Jun 2, 2026

To explore multiomic regulation of the metabolome, we used machine learning to predict metabolomic variation across ~1000 different cancer cell lines with matched omics data from eight biomolecular classes: genomic copy number variation, mutations, D... read more

Digital Transformation of Medicines Regulation in Africa-Perspectives from a Stakeholder Convening.

Clinical pharmacology and therapeutics Jun 2, 2026

Regulatory authorities worldwide are developing strategies to integrate artificial intelligence (AI) into the lifecycle of health products, technologies, and medicines. While regulators share goals of improving efficiency, strengthening decision-maki... read more

Application of artificial intelligence-generated clinical cases in case-based learning of histology and embryology.

Anatomical sciences education Jun 2, 2026

To investigate the effectiveness of a case-based learning (CBL) approach in histology and embryology, integrating instructor-reviewed, AI-assisted clinical cases within a Structure-Function-Clinical (SFC) framework. Undergraduate students from Hangzh... read more

Quantitative study on the discriminative value of fingerprint minutiae.

Journal of forensic sciences Jun 2, 2026

Traditional fingerprint identification primarily relies on the number of matching minutiae between the questioned and reference prints, where identity is determined by whether the match count exceeds a fixed threshold. However, this "minimum matching... read more

A forensic evaluation method of stable diffusion-generated images using feature-based likelihood ratio by deep learning features.

Journal of forensic sciences Jun 2, 2026

With the increasing realism of artificial intelligence (AI)-generated images from Stable Diffusion and similar models, forensic practitioners face significant challenges in image authenticity verification. This study proposes a feature-based likeliho... read more

Endothelial activation and stress index associated with in-hospital mortality risk in patients with end-stage renal disease: a retrospective analysis based on the MIMIC database and machine learning model development.

BMC nephrology Jun 2, 2026

BACKGROUND: End-stage renal disease (ESRD) is a severe chronic renal disorder with high mortality, requiring dialysis treatment or kidney transplantation. The endothelial activation and stress index (EASIX), reflecting inflammatory status and endothe... read more

Insights into middle-aged men (40-70) who died by suicide: a nationwide mixed methods study in the Netherlands.

BMC public health Jun 2, 2026

BACKGROUND: Globally, middle-aged men dominate suicide statistics in many regions. To understand their heightened vulnerability, we examine the interplay between sociodemographic factors, contextualized through psychosocial perspectives. METHODS: Dat... read more

Development and external validation of the HCH and HPMS prognostic indices for sepsis: a retrospective model development study using a Multi-Objective Non-Newtonian Fluid optimization algorithm.

BMC medical informatics and decision making Jun 2, 2026

BACKGROUND: The pathological heterogeneity of sepsis makes it challenging for traditional scoring systems to balance early-warning sensitivity, dynamic progression characterization, and mechanistic interpretability. Developing a multi-objective optim... read more

Artificial Intelligence Medical Compendium