Artificial Intelligence Medical Compendium

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

Showing 29,951 to 29,960 of 219,931 articles

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 

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 

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 

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 

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 

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 

Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.

Innovations (Philadelphia, Pa.)
OBJECTIVE: This study evaluates the performance of an artificial intelligence predictive clinical decision support system (CheLSEA) in generating chest tube management recommendations. METHODS: From October 2020 to May 2021, 50 adult elective pulmona... read more 

Predicting unconfined compressive strength of geopolymer-stabilized clays using a sector fruit fly-based extreme learning machine.

Scientific reports
UNLABELLED: Accurate prediction of the unconfined compressive strength (UCS) of geopolymer-stabilized clayey soil is critical for geotechnical engineering. Conventional regression algorithms and even advanced machine learning approaches such as artif... read more 

Mass cytometry data integration methods reveal rural-urban gradient of immune profiles across geography

bioRxiv
The human immune system strongly varies across populations and is shaped by a wide range of host and environmental factors. As such, a rural compared to urban lifestyle has previously been associated with baseline differences in immune profiles, whic... read more