Artificial Intelligence Medical Compendium

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

Showing 8,661 to 8,670 of 208,216 articles

TiON/NiOx Heterojunction Neuron for CMOS-Compatible Hardware Implementation of Activation Function in Neural Network.

ACS applied materials & interfaces
This study presents a compact neuron device based on a PN heterojunction neuron to enable hardware-level deep neural networks (HDNNs) with improved integration density beyond the limits of complementary metal-oxide-semiconductor (CMOS) neuron circuit... read more 

Substituent-modulated adaptive aromaticity in NHC-pyrrolyl cations: a combined DFT and machine learning study.

Physical chemistry chemical physics : PCCP
The stabilization of 4π-electron systems remains a fundamental challenge in chemistry, stemming from their intrinsic antiaromaticity and thermodynamic instability as dictated by Hückel's rule. A recent experimental study has demonstrated that rationa... read more 

A Reproducible Hierarchical Virtual Screening Framework Integrating Scaffold-Aware Machine Learning, Ensemble Docking, and Molecular Dynamics: Application to IDO1.

Journal of chemical information and modeling
Indoleamine 2,3-dioxygenase 1 (IDO1) is a heme-containing enzyme implicated in cancer immune escape and remains an attractive therapeutic target despite recent clinical setbacks. We report a fully reproducible hierarchical virtual screening framework... read more 

An art-based mixed-methods study exploring children's environmental preferences in home-based nursing research.

Nurse researcher
BACKGROUND: Evidence-based strategies for designing environments conducive to paediatric clinical research home visits are limited, particularly in low-resource settings. Child-centred methods are needed to support children's environmental preference... read more 

Physics-Aware Representation Learning on Electronic Charge Density for Materials Property Prediction.

Journal of chemical information and modeling
The fundamental quantity governing the mechanical and thermodynamic properties of a crystalline solid is its electronic charge density. Yet, its direct use for the rapid prediction of materials properties remains challenging due to its high dimension... read more 

FOSL2 drives transcriptional activation of super‑enhancer-regulated DYNC1H1 to promote hypoxia‑induced oral squamous cell carcinoma progression.

Molecular medicine reports
Hypoxia is a hallmark of oral squamous cell carcinoma (OSCC) and plays a critical role in driving tumor progression. However, the mechanisms by which OSCC cells respond to hypoxic signaling to promote malignant phenotypes remain unclear. The present ... read more 

Interpretable machine-learning prediction of DFT energies per atom and identification of magic numbers in coinage-metal nanoclusters (N ≤ 55) from the open quantum cluster database.

Physical chemistry chemical physics : PCCP
Atomically precise coinage-metal nanoclusters (Cu, Ag, and Au) exhibit size-dependent stability critical for catalysis, plasmonics, and photocatalysis, yet first-principles screening becomes prohibitive beyond ∼55 atoms. We use the open quantum clust... read more 

Enhydrin from yacon attenuates atherosclerosis by modulating the FABP5/PPARγ/ABCA1 axis: An integrated multi-omics and in vivo validation.

Biochimica et biophysica acta. Molecular and cell biology of lipids
Dysregulated lipid metabolism drives atherosclerosis (AS). Yacon, an Andean lipid-modulating tuber, exerts anti-AS potential, but mechanisms remain unclear. We integrated network pharmacology, machine learning, single-cell RNA sequencing (scRNA-seq),... read more 

UV spectroscopy associated with machine learning as a complementary tool for the diagnosis of Ehrlichia canis in dogs.

Photodiagnosis and photodynamic therapy
Canine ehrlichiosis, caused by Ehrlichia canis, is a tick-borne disease with a global distribution that significantly affects the clinical and epidemiological landscape for dogs. Although laboratory diagnosis is essential, current diagnostic methods ... read more