AI Medical Compendium

Optimizing wastewater treatment through combined deep learning and deep reinforcement learning: Recent advances and future prospects.

Environmental research Jan 15, 2026

Wastewater treatment plants (WWTPs) are critical components of urban infrastructure, and enhancing their performance while reducing carbon emissions is essential for advancing sustainable urban development. However, WWTPs often face challenges such a... read more

Complex Interactions Between Stress, Nutrition, Gut Microbiota, and Infectious Diseases and Their Impact on Health in Global Conflicts: A Narrative Review.

The Journal of nutritional biochemistry Jan 15, 2026

Following the global recovery from the COVID-19 pandemic, wars and conflicts have escalated to levels unseen since the Cold War. It is well known that conflict is accompanied not only by significant losses among both military personnel and civilians ... read more

CvTFuse: An unsupervised medical image fusion method of gliomas T1-DWI mode.

Magnetic resonance imaging Jan 15, 2026

BACKGROUND: DWI can provide microscopic information on the diffusion of water molecules, whereas T1WI can provide high-resolution anatomical and histological information. PURPOSE: Accurately and effectively fusing different MRI modalities can precise... read more

Explainable AI-assisted hybrid self-organising maps and deep learning algorithms for detecting pistachio adulteration with peas.

Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment Jan 15, 2026

In this study samples of raw pistachio nuts were prepared containing from 0% to 60% adulteration with dried peas. This training set of samples were analysed by Raman spectroscopy at frequencies from 200 to 2000 cm-1 and an integrated AI model was use... read more

Development of team-based and individualised speed zone thresholds for elite club-level women's soccer.

Science & medicine in football Jan 15, 2026

Speed zone thresholds in women's soccer are often based on thresholds derived from the men's game. This study applied a data-mining approach to generate (a) team-based speed zone thresholds, and (b) individualised speed zone thresholds for elite fema... read more

Machine learning and food inspection: use of Bayesian Network modeling to support official controls in the food industries.

Italian journal of food safety Jan 15, 2026

This study aims to develop a machine learning model capable of predicting the type of non-compliance (NC) most likely to be detected by competent authorities during official control of food establishments based on their structural, product, and manag... read more

Identification of molecular compounds targeting bacterial propionate metabolism with topological machine learning.

Journal of molecular graphics & modelling Jan 15, 2026

This study demonstrates the transformative potential of machine learning in drug discovery by integrating comparative protein and ligand analysis with novel topological machine learning methods. Our approach sifts through large chemical libraries to ... read more

Trends in health literacy discussions within primary health care research: A topic analysis using machine learning techniques.

Atencion primaria Jan 15, 2026

OBJECTIVE: To reveal the intellectual framework, research trends, and gaps, and evaluate effective health literacy tools in the field of primary healthcare services. DESIGN: Observational, machine learning-based bibliometric study. SITE: Analysis was... read more

Deep Learning-Based Detection of Periodontal Infrabony and Furcation Defects on Periapical Radiographs: A Feasibility Study.

International dental journal Jan 15, 2026

INTRODUCTION: Accurate radiographic detection and classification of periodontal osseous defects are essential for prognosis and surgical planning in regenerative periodontology. Traditional diagnostic methods offer limited morphological information, ... read more

A context-augmented large language model for accurate precision oncology medicine recommendations.

Cancer cell Jan 15, 2026

The rapid expansion of molecularly informed therapies in oncology, coupled with evolving regulatory food and drug administration (FDA) approvals, poses a challenge for oncologists seeking to integrate precision oncology medicine into patient care. La... read more

Artificial Intelligence Medical Compendium