Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 64,591 to 64,600 of 231,605 articles

Water Adsorption at Pairs of Proximate Brønsted Acid Sites in Zeolites.

The journal of physical chemistry letters Jan 14, 2026
We model water adsorption at pairs of proximate Brønsted acid sites (BASs) in zeolites H-MFI, H-FAU, and H-CHA. We use machine-learning potentials to explore the potential energy surface, combined with quantum mechanical methods for chemically accura... read more 

Machine Learning-Assisted Tailoring of Pore Structures in Coal-Derived Porous Carbons for Enhanced Performance.

Small (Weinheim an der Bergstrasse, Germany) Jan 14, 2026
Porous carbon materials (PCMs) have emerged as key players in energy storage and environmental remediation thanks to their highly tunable pore structure parameters. However, traditional empirical approaches for optimizing these parameters are time-co... read more 

Intelligent navigation of potential energy surfaces: leveraging deep reinforcement learning paradigms for accelerated discovery of stable nickel nanoclusters.

Nanoscale Jan 14, 2026
The functional properties of nanoclusters are dictated by their atomic-scale structures; however, the efficient discovery of global energy minima on complex high-dimensional potential energy surfaces remains a formidable challenge in computational ma... read more 

Deep Learning-Assisted Fourier Analysis for High-Efficiency Structural Design: A Case Study on Three-Dimensional Photonic Crystals Enumeration.

Small (Weinheim an der Bergstrasse, Germany) Jan 14, 2026
The geometric design of structures with optimized physical and chemical properties is one of the core topics in materials science. However, designing new functional materials is challenging due to the vast number of existing and possible unknown stru... read more 

High-Strength Degradable Transparent Bio-Electronics Enabled by Confined Crystallization in Aligned Nanofibers for AI-Assisted Motion Sensors.

Small (Weinheim an der Bergstrasse, Germany) Jan 14, 2026
The severe environmental impact of conventional plastic electronics necessitates next-generation wearable devices simultaneously embodying high performance, flexibility, and sustainability. Herein, we propose a 1D nano-confined high-pressure crystall... read more 

Integrated Photon Ellipticity Recognition with Chiral Nanomaterials.

Small (Weinheim an der Bergstrasse, Germany) Jan 14, 2026
Light's spin angular momentum endows photons with rich polarization degrees of freedom, an extra "knob" of control beyond intensity and wavelength that underpins breakthroughs in imaging, sensing, data storage, and quantum information. Yet reliably m... read more 

Diaphragm-based microfluidic platforms for reconfigurable sample manipulation: from enrichment to activated sorting.

Lab on a chip Jan 14, 2026
Precise manipulation of small sample volumes through enrichment, metering, routing, and selective sorting defines the analytical performance of microfluidic systems. While passive approaches such as deterministic lateral displacement and inertial mic... read more 

Identification of Risk Factors and Development of Machine Learning Prediction Models for Inpatient Calcium Pyrophosphate Deposition Disease Flares.

Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases Jan 14, 2026
OBJECTIVE: The risk factors for inpatient calcium pyrophosphate deposition disease (CPPD) flares remain poorly defined. This study aimed to identify independent risk factors for inpatient CPPD flares and develop exploratory predictive models to suppo... read more 

Low-complexity fetal heart rate monitoring from carbon-based single-channel dry electrodes maternal electrocardiogram.

Physiological measurement Jan 14, 2026
Objective. Fetal and maternal health during pregnancy can be monitored with sensors such as Doppler or scalp fetal ECG. This study focuses on single-channel dry electrode maternal abdominal ECG (aECG) to extract fetal heart rate (fHR) using a low-com... read more 
Humans Algorithms Pregnancy Female Adult Electrocardiography Carbon Signal Processing, Computer-Assisted Electrodes Mothers Heart Rate, Fetal Fetal Monitoring

BOLD-GPCRs: A Transformer-Powered App for Predicting Ligand Bioactivity and Mutational Effects across Class A GPCRs.

Journal of chemical information and modeling Jan 14, 2026
G Protein-Coupled Receptors (GPCRs) are important targets for drug discovery owing to their ability to respond to a broad range of stimuli and their involvement in numerous pathologies. Although traditional ligand-based and structure-based approaches... read more 
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