Artificial Intelligence Medical Compendium

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

Showing 8,201 to 8,210 of 207,819 articles

Predict neuromuscular performance in human epidural electrical stimulation: phase 1 trial interim results.

Communications medicine
BACKGROUND: Epidural electrical stimulation (EES) has emerged as a promising therapy for restoring motor function in patients with paralysis. A primary challenge in this therapy lies in identifying feasible stimulation parameters in huge selection sp... read more 

Effectiveness of AI and rule-based conversational agents for depression, anxiety and stress: A meta-analysis.

NPJ digital medicine
Depression, anxiety, and stress are significant global health burdens worsened by restricted access to care. Conversational agents (CAs), encompassing both AI(Artificial Intelligence)- and rule-based systems, provide scalable mental health interventi... read more 

Predicting growth, water-use efficiency and drought response through machine learning, GWAS and differential expression in Ponderosa pine.

BMC plant biology
Understanding the molecular basis of phenotypic trait variation is key in improving field performance in plants. Many plants have high within seed source phenotypic variation, making trait-based inferences for performance difficult and inaccurate. Ou... read more 

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