AIMC Topic: Phenotype

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Identifying progression subphenotypes of Alzheimer's disease from large-scale electronic health records with machine learning.

Journal of biomedical informatics Apr 1, 2025
OBJECTIVE: Identification of clinically meaningful subphenotypes of disease progression can enhance the understanding of disease heterogeneity and underlying pathophysiology. In this study, we propose a machine learning framework to identify subpheno...
Aged, 80 and over Male Disease Progression Cognitive Dysfunction Electronic Health Records Female Aged United States Alzheimer Disease Phenotype Databases, Factual Humans Machine Learning
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Biological Prior Knowledge-Embedded Deep Neural Network for Plant Genomic Prediction.

Genes Mar 31, 2025
Genomic prediction is a powerful approach that predicts phenotypic traits from genotypic information, enabling the acceleration of trait improvement in plant breeding. Traditional genomic prediction methods have primarily relied on linear mixed mode...
Genotype Genome-Wide Association Study Neural Networks, Computer Genome, Plant Genomics Phenotype Plant Breeding Polymorphism, Single Nucleotide Deep Learning
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Integrating sensor fusion with machine learning for comprehensive assessment of phenotypic traits and drought response in poplar species.

Plant biotechnology journal Mar 30, 2025
Increased drought frequency and severity in a warming climate threaten the health and stability of forest ecosystems, influencing the structure and functioning of forests while having far-reaching implications for global carbon storage and climate re...
Phenotype Stress, Physiological Machine Learning Droughts Populus
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Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.

JACC. Cardiovascular imaging Mar 26, 2025
BACKGROUND: Current treatment paradigms assume aortic regurgitation (AR) patients to be a homogenous population, but varied courses of disease progression and outcomes are observed clinically.
Risk Assessment Disease Progression Severity of Illness Index Aortic Valve Unsupervised Machine Learning Time Factors United States Prognosis Machine Learning Male Retrospective Studies Female Magnetic Resonance Imaging, Cine Ventricular Function, Left Humans Decision Support Techniques Predictive Value of Tests Reproducibility of Results Sex Factors Risk Factors Middle Aged Phenotype Aortic Valve Insufficiency Aged Adult
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Integrating Deep Learning Models with Genome-Wide Association Study-Based Identification Enhanced Phenotype Predictions in Group A .

Journal of microbiology and biotechnology Mar 26, 2025
Group A (GAS) is a major pathogen with diverse clinical outcomes linked to its genetic variability, making accurate phenotype prediction essential. While previous studies have identified many GAS-associated genetic factors, translating these finding...
Streptococcus pyogenes Phenotype Genome, Bacterial Humans Genome-Wide Association Study Neural Networks, Computer Deep Learning Genotype Streptococcal Infections
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Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping.

Journal of biomedical informatics Mar 21, 2025
OBJECTIVE: To illustrate the use of an ontology in evaluating data quality in the medical field, focusing on phenotyping lung cancers.
Anaplastic Lymphoma Kinase Lung Neoplasms Mutation Data Accuracy Humans Protein Kinase Inhibitors Biological Ontologies Phenotype Data Warehousing ErbB Receptors
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Breaking the field phenotyping bottleneck in maize with autonomous robots.

Communications biology Mar 21, 2025
Understanding phenotypic plasticity in maize (Zea mays L.) is a current grand challenge for continued crop improvement. Measuring the interactive effects of genetics, environmental factors, and management practices (GxExM) on crop performance is time...
Robotics Zea mays Autonomous Robots Machine Learning Phenotype
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Deep learning-assisted cellular imaging for evaluating acrylamide toxicity through phenotypic changes.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Mar 19, 2025
Acrylamide (AA), a food hazard generated during thermal processing, poses significant safety risks due to its toxicity. Conventional methods for AA toxicology are time-consuming and inadequate for analyzing cellular morphology. This study developed a...
Humans Phenotype Deep Learning Acrylamide Optical Imaging
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Evaluation of artificial intelligence robot's knowledge and reliability on dental implants and peri-implant phenotype.

Scientific reports Mar 19, 2025
The aim of this study was to evaluate the reliability and quality of information generated by ChatGPT regarding dental implants and peri-implant phenotypes. A structured questionnaire on these topics was presented to the AI-based chatbot, and its res...
Adult Male Middle Aged Phenotype Female Reproducibility of Results Surveys and Questionnaires Robotics Dental Implants Humans Artificial Intelligence
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Subphenotyping prone position responders with machine learning.

Critical care (London, England) Mar 14, 2025
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous condition with varying response to prone positioning. We aimed to identify subphenotypes of ARDS patients undergoing prone positioning using machine learning and assess their a...
Humans Machine Learning COVID-19 Phenotype Respiration, Artificial Respiratory Distress Syndrome Adult Prone Position Male Middle Aged Retrospective Studies Female Aged
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