Artificial Intelligence Medical Compendium

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

Showing 30,051 to 30,060 of 220,100 articles

Use of Machine Learning to Identify Markers of Risk for Fragile X-Associated Tremor/Ataxia Syndrome: A Preliminary Analysis.

Annals of neurology
OBJECTIVE: The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of Fragile X-associated tremor/ataxia syndrome (FXTAS) among male fragile X premutation carriers (PCs)... read more 

HySimODE: A hybrid stochastic-deterministic simulation framework for multiscale models of biological systems.

Bioinformatics (Oxford, England)
Hybrid simulation is essential for modeling biochemical systems that mix low-copy stochastic dynamics with high-abundance deterministic processes. We present HySimODE, a Python framework that automates hybrid simulation directly from user-defined ord... read more 

Reconstructing cell-cell interaction network in single-cell spatial transcriptomics via directed heterogeneous graph autoencoder.

Bioinformatics (Oxford, England)
MOTIVATION: Spatial transcriptome data have both gene expression information and cell spatial location information, offering exceptional prospects for analyzing cell-cell interaction (CCI) network. Most existing statistical and optimal transport-base... read more 

Macrophage polarization as a therapeutic target in lung diseases: From pathogenesis to precision intervention.

International immunopharmacology
Macrophages serve as core effector cells of the innate immune system, exerting dual regulatory roles in pulmonary homeostasis maintenance and disease pathogenesis. Pulmonary macrophages comprise two distinct ontogenetic populations: self-renewing tis... read more 

Combined multi-omics and multi-spectral profiling of plasma extracellular vesicles reveals liquid biopsy biomarkers for glioma diagnosis.

Cell reports. Medicine
Plasma small extracellular vesicles (sEVs) are a promising liquid biopsy tool. This study aims to delineate and validate a multimodal plasma sEV biomarker signature for glioma. We use size exclusion chromatography to separate sEVs from plasma (1 mL) ... read more 

A network-based deep learning model integrating subclonal architecture for therapy response prediction in cancer.

Cell reports methods
Predicting treatment response remains challenging in oncology, particularly given the growing diversity of therapeutic options. Despite efforts using gene expression signatures, or integrative multi-omics frameworks, robust and interpretable biomarke... read more 

Machine Learning for Cardiovascular Risk Prediction: A Practical Primer for Clinicians.

Heart, lung & circulation
Machine learning (ML) offers powerful tools for clinical risk prediction, enhancing traditional statistical approaches through improved pattern recognition and predictive capability-its role and use in cardiovascular care and research is expanding. T... read more 

Reconstruction of emergence profile using a digital mirroring technique in a custom biological definitive abutment and interim restoration in immediate implant placement in esthetic area: A clinical report with 4-year follow-up.

The Journal of prosthetic dentistry
Immediate implant placement and interim restoration in the anterior maxilla remains challenging because of the high esthetic demands and the risk of soft-tissue recession. This clinical report describes a fully digital workflow integrating artificial... read more