Artificial Intelligence Medical Compendium

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

Showing 46,101 to 46,110 of 224,055 articles

An Interpretable Functional-Dynamic Synaptic Graph Neural Network for Major Depressive Disorder Diagnosis from rs-fMRI.

International journal of neural systems
Major depressive disorder (MDD) is a serious, complex psychiatric condition that affects millions of people worldwide. Early diagnosis and biomarker identification are critical for personalized treatment and effective disease monitoring. While restin... read more 

DP-OTG: A Feature-Free Deep Learning Model for Accurate Prediction of Human O-Linked Threonine Glycosylation Sites.

Journal of computational biology : a journal of computational molecular cell biology
Protein O-linked threonine glycosylation (OTG) is a crucial post-translational modification in eukaryotic species, playing a vital role in diverse biological processes. In humans, dysregulation of OTG has been associated with serious diseases, includ... read more 

ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping.

GigaScience
BACKGROUND: Plant developmental plasticity, particularly in root system architecture, is fundamental to understanding adaptability and agricultural sustainability. Existing automated phenotyping solutions face limitations including binary segmentatio... read more 

Unified AI Approach Using Encoding and Generative Large Language Models for Variant Product Matching in e-Commerce.

Big data
We introduce VARM, variant relationship matcher strategy, to identify pairs of variant products in e-commerce catalogs. Traditional definitions of entity resolution are concerned with whether product mentions refer to the same underlying product. How... read more 

Harnessing Phage-Based Nanosensors for Advancing Ultrasensitive Point-of-Care Detection of Foodborne Pathogenic Bacteria.

Journal of agricultural and food chemistry
The persistent global challenge of foodborne pathogens necessitates the development of ultrasensitive point-of-care (POC) detection technologies. However, conventional methods for detecting foodborne pathogens, such as culture-based and nucleic-acid-... read more 

Liquid Metal-Initiated Rapid Polymerization for High-Performance Organic-Ionogels in Wearable Sensors.

ACS applied materials & interfaces
Gel-based materials are promising candidates for flexible sensors in wearable health monitoring owing to their inherent flexibility, conductivity, and biocompatibility. However, integrating rapid fabrication, robust mechanical properties, and strong ... read more 

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning.

Clinical trials (London, England)
Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary endpoint. Motivated by the SEARCH Universal HIV Test-and-Treat Trial (2013-2017), we tell our story ... read more 

Flavonol glycosides from Eriocaulon buergerianum Körn. and their α-glucosidase inhibitory effects.

Natural product research
A new flavonol glycoside, patuletin 3-O-β-D-glucopyranosyl-(1→6)-β-D-glucopyranoside-7-O-β-D-glucopyranoside (1), together with three known flavonol glycosides (2-4) were isolated from Eriocaulon buergerianum Körn. Their structures were illuminated b... read more 

Prediction and risk factor analysis of dental implant failure using Cox regression and machine learning.

Journal of periodontology
BACKGROUND: Survival analysis is commonly used to identify factors affecting dental implant longevity. While conventional studies typically employ the Cox proportional hazards model, the potential benefits of modern machine-learning algorithms remain... read more 

Integration of AI and Neuroscience: New Methods in Studying the Causes of Mental Disorders.

International journal of psychiatry in medicine
ObjectiveThis review sought to systematize knowledge about the use of artificial intelligence in neurobiological research of mental disorders and assess its potential in identifying their causes.MethodsA qualitative synthesis of scientific literature... read more