Artificial Intelligence Medical Compendium

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

Showing 28,281 to 28,290 of 219,260 articles

Novel Knotted Solenoid fold with order-shifted coil arrangement leads to nontrivial 31 topology.

Proceedings of the National Academy of Sciences of the United States of America
Herein, we present crystal structures of proteins adopting a fold not identified among known [Formula: see text]-solenoids in current structural databases, a Knotted Solenoid. These proteins exhibit a characteristic solenoidal architecture, closely r... read more 

Designing multi-site charge-bifurcation networks in de novo proteins: a kinetic, statistical, and machine-learning approach.

Physical chemistry chemical physics : PCCP
Electron bifurcation reactions separate electron pairs into high and low potential pools, and these reactions are central to the bioenergetics of living systems. Here, we used kinetic analysis and machine learning to analyze a diverse set of structur... read more 

Good Practice for Conference Abstracts and Presentations (GPCAP) recommendations: 2026 update.

Current medical research and opinion
INTRODUCTION: The first iteration of Good Practice for Conference Abstracts and Presentations (GPCAP), published in 2019, set the baseline for general recommendations and expectations for scientific conference abstracts and presentations. While indiv... read more 

Accurate Modeling of Interfacial Thermal Transport in van der Waals Heterostructures via Hybrid Machine Learning and Registry-Dependent Potentials.

Journal of chemical theory and computation
Two-dimensional transition metal dichalcogenides (TMDs) exhibit remarkable thermal anisotropy due to their strong intralayer covalent bonding and weak interlayer van der Waals (vdW) interactions. Accurately modeling their thermal transport properties... read more 

Laboratory Medicine Approaches for Assessing Delayed Graft Function in Renal Transplant.

The journal of applied laboratory medicine
BACKGROUND: Delayed graft function (DGF) remains a significant complication in renal transplantation, adversely affecting graft survival, patient quality of life, and healthcare costs. As kidney transplantation rates rise in the United States, there ... read more 

Magnetic-Tunnel-Junction-Based Probabilistic Processor for Efficient Embodied Evolution.

Nano letters
In embodied artificial intelligence (AI), evolutionary search enables adaptation in complex and uncertain environments but relies on massive stochastic sampling, which in hardware is typically generated using complementary metal-oxide-semiconductor p... read more 

Concurrent Optimization of Device Architecture, Transport Layers, and Active Layer for Organic Photovoltaics by Machine Learning.

The journal of physical chemistry letters
Optimizing organic photovoltaic (OPV) devices requires a holistic understanding of all functional layers, hindered by multiscale, multiphysics interactions difficult to fully model traditionally. While machine learning (ML) excels in active layer dev... read more 

Forecasting under-five stunting in Ethiopia using classical and machine learning time series models.

PloS one
BACKGROUND: The prevalence of under-five stunting in Ethiopia remains above 30%, which, according to World Health Organization (WHO), constitutes a major public health concern. Stunting has long-term consequences for child growth, development, and ov... read more 

RMETNet: A cross-subject motor imagery EEG signal classification model based on TSLANet and riemannian geometry features.

PloS one
Motor imagery electroencephalogram (MI-EEG) analysis is essential for natural interaction and autonomous control in brain-computer interfaces (BCIs). However, deep learning models often struggle with inter-subject variability, which limits their abil... read more