AI Medical Compendium Journal:
Arteriosclerosis, thrombosis, and vascular biology

Showing 1 to 7 of 7 articles

Artificial Intelligence and Machine Learning in Preeclampsia.

Arteriosclerosis, thrombosis, and vascular biology Jan 2, 2025
Preeclampsia is a multisystem hypertensive disorder that manifests itself after 20 weeks of pregnancy, along with proteinuria. The pathophysiology of preeclampsia is incompletely understood. Artificial intelligence, especially machine learning with i...
Humans Artificial Intelligence Risk Assessment Predictive Value of Tests Pre-Eclampsia Early Diagnosis Machine Learning Pregnancy Female
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3DVascNet: An Automated Software for Segmentation and Quantification of Mouse Vascular Networks in 3D.

Arteriosclerosis, thrombosis, and vascular biology May 23, 2024
BACKGROUND: Analysis of vascular networks is an essential step to unravel the mechanisms regulating the physiological and pathological organization of blood vessels. So far, most of the analyses are performed using 2-dimensional projections of 3-dime...
Automation Software Deep Learning Retinal Vessels Imaging, Three-Dimensional Mice Reproducibility of Results Mice, Inbred C57BL Animals Image Interpretation, Computer-Assisted
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Microarchitectural Changes of Cardiovascular Calcification in Response to In Vivo Interventions Using Deep-Learning Segmentation and Computed Tomography Radiomics.

Arteriosclerosis, thrombosis, and vascular biology Jun 16, 2022
BACKGROUND: Coronary calcification associates closely with cardiovascular risk, but its progress is accelerated in response to some interventions widely used to reduce risk. This paradox suggests that qualitative, not just quantitative, changes in ca...
Mice Plaque, Atherosclerotic Tomography, X-Ray Computed Animals Deep Learning
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Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report.

Arteriosclerosis, thrombosis, and vascular biology Aug 12, 2021
Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atherosclerosis research and potentially subject to unacceptable user-to-user variability and observer bias. We address this by releasing Vesseg a tool that inc...
Female Reproducibility of Results Software Mice, Knockout, ApoE Plaque, Atherosclerotic Arteries Animals Male Severity of Illness Index Disease Models, Animal Atherosclerosis Mice, Inbred C57BL Microscopy Predictive Value of Tests Image Interpretation, Computer-Assisted Vascular Remodeling Mice Staining and Labeling Diagnosis, Computer-Assisted Deep Learning
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Virtual Transcriptomics: Noninvasive Phenotyping of Atherosclerosis by Decoding Plaque Biology From Computed Tomography Angiography Imaging.

Arteriosclerosis, thrombosis, and vascular biology Mar 11, 2021
[Figure: see text].
Phenotype Female Aged Transcriptome Pilot Projects Male Gene Expression Profiling Humans Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Feasibility Studies Models, Genetic Predictive Value of Tests Coronary Angiography Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Oligonucleotide Array Sequence Analysis
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Characterization of Antiphospholipid Syndrome Atherothrombotic Risk by Unsupervised Integrated Transcriptomic Analyses.

Arteriosclerosis, thrombosis, and vascular biology Dec 24, 2020
OBJECTIVE: Our aim was to characterize distinctive clinical antiphospholipid syndrome phenotypes and identify novel microRNA (miRNA)-mRNA-intracellular signaling regulatory networks in monocytes linked to cardiovascular disease. Approach and Results:...
Case-Control Studies Humans Protein Interaction Maps Cells, Cultured Gene Regulatory Networks Female Cluster Analysis Risk Factors MicroRNAs Oligonucleotide Array Sequence Analysis Monocytes Antiphospholipid Syndrome Signal Transduction Risk Assessment Unsupervised Machine Learning Adult Gene Expression Profiling Thrombosis Male Transcriptome Gene Expression Regulation Middle Aged
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Network-Based Identification and Prioritization of Key Regulators of Coronary Artery Disease Loci.

Arteriosclerosis, thrombosis, and vascular biology Mar 10, 2016
OBJECTIVE: Recent genome-wide association studies of coronary artery disease (CAD) have revealed 58 genome-wide significant and 148 suggestive genetic loci. However, the molecular mechanisms through which they contribute to CAD and the clinical impli...
Genetic Loci Case-Control Studies Bayes Theorem Gene Expression Regulation Genome-Wide Association Study Coronary Artery Disease Protein Interaction Maps Lumican STAT3 Transcription Factor Computational Biology Genomics Signal Transduction Computer Simulation Genetic Predisposition to Disease Databases, Genetic Animals Gene Regulatory Networks Humans Gene Expression Profiling Mice Neural Networks, Computer Phenotype
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