AI Medical Compendium

Integrated Human Organic Pollutant Exposome and Metabolome Analysis Reveals Biomarkers and Health Risks from Electronic Waste Exposure.

Environmental science & technology Feb 20, 2026

Escalating global electronic waste (e-waste) generation contrasts with <20% formal recycling rates. Policy gaps and inadequate enforcement exacerbate pollution transfer to under-regulated regions, causing substantial environmental and health problems... read more

Manipulating 2D Nanomaterials: Shaping the Future of Intelligent Wearable Health Monitoring Devices.

ACS nano Feb 20, 2026

Wearable electronic devices have become crucial for real-time, noninvasive human health monitoring. In particular, those based on 2D nanomaterials have attracted much attention due to their unique properties. However, there is a lack of comprehensive... read more

SwinSite: 3D Structure-Based Prediction of Protein-Ligand Binding Sites Using a Combined Vision Transformer and Convolution Model.

Journal of chemical information and modeling Feb 20, 2026

Accurate identification of protein-ligand binding sites is an essential step in structure-based drug discovery. Herein, we present SwinSite, a deep learning framework that leverages a hybrid architecture combining 3D convolutional neural networks and... read more

Inadequate Preventive Dental Care Is Associated With Higher Cardiovascular Risk Identified by ECG-Based Artificial Intelligence Algorithms.

Journal of the American Heart Association Feb 20, 2026

BACKGROUND: Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk. Artificial intelligence-enabled electrocardiography (AI-ECG) algorithms accurately estimate cardiov... read more

Translating Mechanistic Insights Into Action and Revealing New Pathways: Machine Learning Approaches in Heart Failure With Preserved Ejection Fraction.

Journal of the American Heart Association Feb 20, 2026

Heart failure with preserved ejection fraction is a prevalent condition that carries a high morbidity and mortality, with limited treatment options. Obtaining and integrating critical mechanistic insights are essential to development of optimal treat... read more

Non-destructive chick embryo mortality prediction at pre-incubation and early incubation using hyperspectral imaging and explainable artificial intelligence.

British poultry science Feb 20, 2026

1. This study evaluated the potential of visible-near infrared (Vis-NIR) hyperspectral imaging (HSI) combined with machine learning and explainable artificial intelligence (AI) to non-destructively predict chick embryo mortality before incubation and... read more

Artificial Intelligence-Guided Design of Fluorescent Probes for Biomedical Applications.

Chemistry (Weinheim an der Bergstrasse, Germany) Feb 20, 2026

Fluorescence imaging (FLI) has become a cornerstone for biomedical research owing to its non-invasive, high sensitivity, and exceptional spatial resolution. The effectiveness of FLI is primarily governed by the properties of fluorescent probes, inclu... read more

Inflammatory indices, machine learning and artificial intelligence in tubal ectopic pregnancy management.

Turkish journal of obstetrics and gynecology Feb 20, 2026

OBJECTIVE: To assess the predictive value of hematologic and biochemical inflammatory indices for methotrexate (MTX) treatment outcomes in tubal ectopic pregnancy (TEP) and to develop machine learning (ML) models for individualized risk stratificatio... read more

vEMRec: High-Resolution Volume Electron Microscopy Reconstruction Based on Structure-Preserving and High-Fidelity 3D Alignment.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 20, 2026

Three-dimensional (3D) alignment is a key step in volume electron microscopy (vEM), aimed at addressing misalignment during data acquisition, thereby recovering the correct biological structures. However, automated 3D alignment has long been challeng... read more

PM10 Impairs CD56dim NK Cell Cytotoxicity via FNBP1 Suppression to Exacerbate Rheumatoid Arthritis: Insights from Multimodal Multi-Omics.