AI Medical Compendium

Circulating inflammatory proteins predict dementia risk, are linked to structural brain changes and modifiable risk factors.

Alzheimer's research & therapy Jan 19, 2026

INTRODUCTION: Systemic inflammation has been identified as a key factor in neurodegeneration but the value of circulating inflammatory proteins in dementia risk prediction and their causal role has not been elucidated. METHODS: We leveraged proteomic... read more

MRI-based patient selection for active surveillance in prostate cancer using U-Found: a generalized deep learning model.

Cancer imaging : the official publication of the International Cancer Imaging Society Jan 19, 2026

Effectiveness of Different Educational Approaches in Improving Comprehensive Clinical Competence Among Medical Students: A Systematic Review and Meta-Analysis.

Evaluation & the health professions Jan 19, 2026

Active, student-centred teaching strategies are increasingly being adopted to bridge the gap between biomedical knowledge and clinical performance in health-profession education. This systematic review and meta-analysis aims to evaluate the comparati... read more

Uniform Design-Embedded Predictions of (Tetra-)Peptide Physicochemical Properties.

Bioinformatics (Oxford, England) Jan 19, 2026

MOTIVATION: Short peptides hold significant promise in drug discovery and materials science due to their biocompatibility, multifunctionality, ease of synthesis, etc. However, accurately predicting their physicochemical properties, a prerequisite for... read more

textToKnowledgeGraph: Generation of Molecular Interaction Knowledge Graphs Using Large Language Models for Exploration in Cytoscape.

Bioinformatics (Oxford, England) Jan 19, 2026

MOTIVATION: Knowledge graphs (KGs) are powerful tools for structuring and analyzing biological information due to their ability to represent data and improve queries across heterogeneous datasets. However, constructing KGs from unstructured literatur... read more

Curvature Engineering of SiFe Dual-Atom Catalysts for Enhanced CO2 Electroreduction.

The journal of physical chemistry letters Jan 19, 2026

Geometric tuning of supports is an emerging strategy to optimize catalysts, yet its role in governing the synergy of heteronuclear p-d dual-atom catalysts (DACs) is unexplored. Using carbon nanotubes (CNTs) as tunable curvature substrates, we investi... read more

Semi-Supervised Fatty Liver Classification Using Attention-Based Graph Neural Network Models.

Journal of Korean medical science Jan 19, 2026

BACKGROUND: Fatty liver disease is a common condition linked to metabolic syndrome, cardiovascular diseases, and liver cirrhosis, and timely, accurate diagnosis is crucial. In clinical studies, incorporating deep learning models often faces the chall... read more

Humans Neural Networks, Computer Female Risk Factors Adult Male Middle Aged Deep Learning ROC Curve Fatty Liver Logistic Models Area Under Curve Non-alcoholic Fatty Liver Disease

Exploring artificial intelligence literacy's role in healthy behaviors and mental health.

World journal of psychiatry Jan 19, 2026

Healthy behavior has long been linked to mental health outcomes. However, the role of artificial intelligence (AI) literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored. This paper presents a scoping re... read more

Unlocking the silent signals: Motor kinematics as a new frontier in early detection of mild cognitive impairment.

World journal of psychiatry Jan 19, 2026

The increasing global prevalence of mild cognitive impairment (MCI) necessitates a paradigm shift in early detection strategies. Conventional neuropsychological assessment methods, predominantly paper-and-pencil tests such as the Mini-Mental State Ex... read more

CT deep learning radiomics and genomics for predicting staging of epithelial ovarian cancer.

International journal of surgery (London, England) Jan 19, 2026

BACKGROUND: Accurate preoperative staging is critical for improving the prognosis, treatment, and survival outcomes of epithelial ovarian cancer (EOC) patients. PURPOSE: To develop and validate a novel model, associating computed tomography (CT)-base... read more

Artificial Intelligence Medical Compendium