Artificial Intelligence Medical Compendium

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

Showing 27,981 to 27,990 of 219,064 articles

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Discover nano
Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocage, intrinsic targeting via the transferrin receptor 1, and adaptability for diverse applications. Th... read more 

Deep-learning computer-aided detection and classification of prostate lesions on biparametric MRI: comparison with expert readers.

Insights into imaging
OBJECTIVE: To assess the performance of a deep learning-based computer-aided detection (DL-CAD) algorithm for prostate lesion detection and classification on biparametric (bp)MRI. MATERIALS AND METHODS: This retrospective, single-center study include... read more 

Fragment-Aware Contrastive Learning Framework for Molecular Property Prediction.

Journal of chemical information and modeling
Artificial intelligence (AI)-driven molecular property prediction holds significant potential to accelerate drug discovery, yet the development of robust models is hindered by scarce, high-quality data and the diversity of prediction tasks. Although ... read more 

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