AIMC Topic: Phenotype

Clear Filters Showing 171 to 180 of 918 articles

Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot.

Brain injury May 9, 2024
OBJECTIVE: The objective is to determine whether unsupervised machine learning identifies traumatic brain injury (TBI) phenotypes with unique clinical profiles.
Brain Concussion Centers for Disease Control and Prevention, U.S. Brain Injuries, Traumatic Cluster Analysis Unsupervised Machine Learning Self Report Middle Aged Pilot Projects Adolescent United States Humans Machine Learning Phenotype Female Aged Young Adult Adult Male
View on PubMed DOI

Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank data.

Science advances May 8, 2024
The ongoing expansion of human genomic datasets propels therapeutic target identification; however, extracting gene-disease associations from gene annotations remains challenging. Here, we introduce Mantis-ML 2.0, a framework integrating AstraZeneca'...
Genetic Predisposition to Disease Computational Biology Databases, Genetic United Kingdom Phenomics Algorithms Humans UK Biobank Phenotype Neural Networks, Computer Genome-Wide Association Study Genomics
View on PubMed DOI

Deep learning imaging phenotype can classify metabolic syndrome and is predictive of cardiometabolic disorders.

Journal of translational medicine May 8, 2024
BACKGROUND: Cardiometabolic disorders pose significant health risks globally. Metabolic syndrome, characterized by a cluster of potentially reversible metabolic abnormalities, is a known risk factor for these disorders. Early detection and interventi...
Metabolic Syndrome Cardiovascular Diseases Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Phenotype Tomography, X-Ray Computed Female Adult Male
View on PubMed DOI

Application of machine learning approaches for predicting hemophilia A severity.

Journal of thrombosis and haemostasis : JTH May 7, 2024
BACKGROUND: Hemophilia A (HA) is an X-linked congenital bleeding disorder, which leads to deficiency of clotting factor (F) VIII. It mostly affects males, and females are considered carriers. However, it is now recognized that variants of F8 in femal...
Humans Machine Learning Phenotype Genetic Predisposition to Disease Genotype Databases, Genetic Predictive Value of Tests Female Reproducibility of Results Male Severity of Illness Index Hemophilia A Factor VIII
View on PubMed DOI

Identification of sleep phenotypes in COPD using machine learning-based cluster analysis.

Respiratory medicine May 6, 2024
BACKGROUND: Disturbed sleep in patients with COPD impact quality of life and predict adverse outcomes.
Male Middle Aged Quality of Life Comorbidity Phenotype Female Aged Pulmonary Disease, Chronic Obstructive Unsupervised Machine Learning Sleep Polysomnography Sleep Wake Disorders Cohort Studies Longitudinal Studies Age Factors Humans Cluster Analysis Machine Learning
View on PubMed DOI

Novel Machine Learning Identifies 5 Asthma Phenotypes Using Cluster Analysis of Real-World Data.

The journal of allergy and clinical immunology. In practice Apr 27, 2024
BACKGROUND: Asthma classification into different subphenotypes is important to guide personalized therapy and improve outcomes.
Adult Asthma Male Middle Aged Electronic Health Records Humans Cluster Analysis Female Spirometry Machine Learning Aged Phenotype Young Adult
View on PubMed DOI

Applying Artificial Intelligence for Phenotyping of Inherited Arrhythmia Syndromes.

The Canadian journal of cardiology Apr 24, 2024
Inherited arrhythmia disorders account for a significant proportion of sudden cardiac death, particularly among young individuals. Recent advances in our understanding of these syndromes have improved patient diagnosis and care, yet certain clinical ...
Death, Sudden, Cardiac Humans Machine Learning Artificial Intelligence Phenotype Genetic Testing Arrhythmias, Cardiac
View on PubMed DOI

Integrated machine learning and multimodal data fusion for patho-phenotypic feature recognition in iPSC models of dilated cardiomyopathy.

Biological chemistry Apr 24, 2024
Integration of multiple data sources presents a challenge for accurate prediction of molecular patho-phenotypic features in automated analysis of data from human model systems. Here, we applied a machine learning-based data integration to distinguish...
Troponin T Calcium Myocytes, Cardiac Induced Pluripotent Stem Cells Cardiomyopathy, Dilated Humans Machine Learning Phenotype
View on PubMed DOI

Machine learning models reveal distinct disease subgroups and improve diagnostic and prognostic accuracy for individuals with pathogenic SCN8A gain-of-function variants.

Biology open Apr 24, 2024
Distinguishing clinical subgroups for patients suffering with diseases characterized by a wide phenotypic spectrum is essential for developing precision therapies. Patients with gain-of-function (GOF) variants in the SCN8A gene exhibit substantial cl...
Humans Machine Learning Algorithms Male Phenotype Genetic Predisposition to Disease Prognosis Gain of Function Mutation Female NAV1.6 Voltage-Gated Sodium Channel Adult
View on PubMed DOI

The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome.

Cell host & microbe Apr 23, 2024
The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) are poorly understood. Herein, we characterized the gut microbiome in heterogeneous cohorts of subjects with PACS and developed a multi-label machine ...
Post-Acute COVID-19 Syndrome Humans Feces Machine Learning Bacteria Adult COVID-19 Gastrointestinal Microbiome Phenotype Male Longitudinal Studies Female Middle Aged SARS-CoV-2 Cohort Studies Aged
View on PubMed DOI
Popular Topics
Recent Journals