AI Medical Compendium

Applying Artificial Intelligence Technologies to Detect Pancreatic Ductal Adenocarcinoma Using Routine Laboratory Tests: A Pilot Study with the Aid of Machine Learning Suitable for a Small Data Analysis.

Internal medicine (Tokyo, Japan) May 5, 2026

Objective This study aimed to investigate whether artificial intelligence could identify pancreatic ductal adenocarcinoma (PDAC) in patients aged <70 years using only routine laboratory tests (RLTs) applicable to regular health checkups. Methods The ... read more

From mechanisms to machine learning: an AI-enabled framework for biochar-based remediation of polyaromatic hydrocarbons (PAHs).

Waste management (New York, N.Y.) May 5, 2026

Biochar is a carbon-rich byproduct of biomass pyrolysis. It has emerged as a promising tool in environmental biomanufacturing specifically for the remediation of polycyclic aromatic hydrocarbons (PAHs). PAHs are persistent organic pollutants with sig... read more

Global Trends in Postoperative Sepsis After Pancreatoduodenectomy: A Bibliometric Analysis.

The Journal of surgical research May 5, 2026

INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of morbidity and mortality. Although extensive clinical studies have explored its risk factors and management, the global research landscape and evolvin... read more

Prenatal behavioral contagion through maternal yawning and fetal resonance.

Current biology : CB May 5, 2026

Yawning is a phylogenetically preserved and highly stereotyped behavior observed across vertebrates.1 In humans, it emerges early in development, as it is already present prenatally.2,3 Qualitative studies show that fetal yawns display a structured m... read more

Artificial intelligence applications in OCT and OCTA for diabetic retinopathy: A systematic review.

Experimental eye research May 5, 2026

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide. Optical coherence tomography (OCT) and OCT angiography (OCTA) provide detailed retinal imaging, enabling early detection of microvascular changes. This study aims t... read more

Machine learning framework for irrigation water quality assessment in Kerala Rivers, India.

Journal of contaminant hydrology May 5, 2026

Accurate assessment of irrigation water quality is essential for sustainable agricultural management, particularly in regions facing increasing pressure on freshwater resources. Conventional water quality indices often require extensive parameters an... read more

Degradable and non-degradable microplastics regulate soil greenhouse gas emissions: Multi-factor insights and key monitoring factors from a Kolmogorov-Arnold Network ensemble model.

Journal of hazardous materials May 5, 2026

Microplastics (MPs) are increasingly recognized as a potential factor influencing soil greenhouse gases (GHGs) emissions, yet their effects remain inconsistent due to complex interactions among soil properties, microbial communities, and MP character... read more

Enhancing nutritional yeast-derived meaty flavours with multi-task Bayesian optimisation.

Food chemistry May 5, 2026

This study applied data-driven machine learning to optimise the generation of meaty flavour from Maillard-reaction-derived nutritional yeast hydrolysates. Conventional flavour development relies heavily on empirical expertise, limiting efficiency and... read more

Use of Machine-Learning Models to Identify Clinical Features Associated With A Future Clinical Worsening Event in Patients With Pulmonary Arterial Hypertension.

Pulmonary circulation May 5, 2026

Clinical worsening events are increasingly recognized as a meaningful outcome in pulmonary arterial hypertension (PAH). We applied machine-learning models to real-world data to identify clinical features that may predict clinical worsening events in ... read more

Establishing a competence model in discriminating Mycobacterium species and Mycobacterium abscessus subspecies by using surface-enhanced Raman spectroscopy.

Biomedical reports May 5, 2026

Surface-enhanced Raman spectroscopy (SERS) is a powerful laser-based technique with high sensitivity and rapid detection. The present study aimed to establish a model for distinguishing Mycobacterium abscessus (nontuberculous mycobacteria; NTM) from ... read more

Artificial Intelligence Medical Compendium