Artificial Intelligence Medical Compendium

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

Showing 45,201 to 45,210 of 224,055 articles

Phenoxy-linked colchicine derivatives: A structure-based approach toward enhanced selectivity and α-tubulin interaction.

European journal of medicinal chemistry
Colchicine, a well-known microtubule assembly inhibitor that binds to β-tubulin, has limited clinical utility due to high systemic toxicity. To enhance its therapeutic window, 22 novel phenoxy-linked colchicine derivatives were designed and synthesiz... read more 

PHIVE: A physics-informed variational encoder enables rapid spectral fitting of brain metabolite mapping at 7T.

Medical image analysis
Magnetic Resonance Spectroscopic Imaging (MRSI) enables non-invasive mapping of brain metabolite concentrations but remains computationally intensive and challenging due to a low signal-to-noise ratio (SNR) and overlapping spectral features. Traditio... read more 

From stigma to sanctuary: A conceptual framework for M-PODS, a low-cost, AI-powered mental health pod.

Asian journal of psychiatry
A conceptual framework for an AI driven mental health pod (M-PODS), that can help to step care and triage people who require mental health support, to be deployed in public spaces. read more 

From fluorescence imaging to intelligent quantification: An automated and intelligent platform for Al3+ detection in food samples using a machine learning-enhanced Ratiometric probe.

Food chemistry
This study presents an intelligent detection platform for Al3+ sensing by integrating a ratiometric fluorescence probe, smartphone imaging and a feedforward neural network (FFNN) algorithm. The probe suspension exhibits distinct fluorescence color tr... read more 

Pipeline-optimized machine learning for chronic fatigue syndrome diagnosis: A lightweight, interpretable model using blood biochemical and metabolomic data.

Computational biology and chemistry
INTRODUCTION AND BACKGROUND: Chronic fatigue syndrome (CFS) is a debilitating multisystem disorder with persistent fatigue and functional impairment, yet remains underdiagnosed due to symptom heterogeneity and the lack of objective biomarkers. Develo... read more 

scDCL: A multi-view single-cell RNA sequencing clustering method based on dual contrastive learning.

Computational biology and chemistry
Single-cell RNA sequencing (scRNA-seq) has become a pivotal tool for resolving cellular heterogeneity and uncovering novel cell states. While deep learning-based scRNA clustering algorithms have significantly enhanced cellular resolution and computat... read more 

A novel hierarchical temporal refinement diffusion network for data augmentation of industrial soft sensors.

ISA transactions
The inherent difficulty in acquiring high-frequency process data and sparse information representation in complex industrial environments often leads to small-data problems, which degrade the generalization ability and prediction reliability of data-... read more 

Functional traits shape gut microbial assembly beyond phylogeny in estuarine fish.

Science China. Life sciences
Host-specific patterns of symbiotic microbiomes are ubiquitous in nature, yet the intricate interplay among host phylogeny, functional traits, and gut microbiota remains insufficiently explored and debated. In this study, the gut microbiota of 61 fis... read more 

Development and validation of a deep learning markerless system for lower-limb kinematics in hip and knee osteoarthritis population.

Journal of biomechanics
With the advancement of deep learning technology, markerless systems have emerged as a cost-effective and user-friendly alternative to marker-based systems. However, most existing markerless systems are developed using datasets from healthy individua... read more 

YTHDF2 promotes m6A-modified HSPA2 translation to restrict Newcastle Disease Virus.

Veterinary microbiology
Newcastle disease virus (NDV), a highly contagious avian pathogen, causes devastating economic losses in poultry worldwide, yet the role of epitranscriptomic regulators in its pathogenesis remains poorly defined. Here we demonstrate that the m6A read... read more