AIMC Topic: Phenotype

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Machine Learning Prediction and Experimental Validation of Antigenic Drift in H3 Influenza A Viruses in Swine.

mSphere Mar 17, 2021
The antigenic diversity of influenza A viruses (IAV) circulating in swine challenges the development of effective vaccines, increasing zoonotic threat and pandemic potential. High-throughput sequencing technologies can quantify IAV genetic diversity,...
Machine Learning Phenotype Animals Amino Acid Substitution Orthomyxoviridae Infections Influenza A Virus, H3N2 Subtype Hemagglutinin Glycoproteins, Influenza Virus Swine Swine Diseases Genotype Regression Analysis Antigenic Variation
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HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning.

Journal of medical Internet research Mar 15, 2021
The collection of data from a personal digital device to characterize current health conditions and behaviors that determine how an individual's health will evolve has been called digital phenotyping. In this paper, we describe the development of and...
Mobile Applications Schizophrenia Data Collection Computers, Handheld Humans Research Design Machine Learning Phenotype Wearable Electronic Devices Smartphone
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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].
Transcriptome Pilot Projects Models, Genetic Predictive Value of Tests Aged Humans Male Artificial Intelligence Coronary Vessels Gene Expression Profiling Coronary Angiography Phenotype Plaque, Atherosclerotic Radiographic Image Interpretation, Computer-Assisted Female Oligonucleotide Array Sequence Analysis Coronary Artery Disease Computed Tomography Angiography Feasibility Studies
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Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences.

Scientific reports Feb 25, 2021
Alterations in the human microbiome have been observed in a variety of conditions such as asthma, gingivitis, dermatitis and cancer, and much remains to be learned about the links between the microbiome and human health. The fusion of artificial inte...
Smokers Humans Aged Menopause Artificial Intelligence Young Adult Skin Metagenome Data Analysis Microbiota Adult Middle Aged Phenotype Biodiversity Aging Deep Learning Female Metagenomics Computational Biology
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RDmap: a map for exploring rare diseases.

Orphanet journal of rare diseases Feb 25, 2021
BACKGROUND: The complexity of the phenotypic characteristics and molecular bases of many rare human genetic diseases makes the diagnosis of such diseases a challenge for clinicians. A map for visualizing, locating and navigating rare diseases based o...
Humans Phenotype Biological Ontologies Gene Ontology Rare Diseases
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Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning.

PLoS computational biology Feb 22, 2021
Phenotypic profiling of large three-dimensional microscopy data sets has not been widely adopted due to the challenges posed by cell segmentation and feature selection. The computational demands of automated processing further limit analysis of hard-...
Organoids Neurons Programming Languages Mammary Glands, Human Imaging, Three-Dimensional Image Processing, Computer-Assisted Mice Apoptosis Mice, Inbred C57BL Cell Line Autophagy Microscopy, Fluorescence Algorithms Humans Phenotype Machine Learning Brain Software Animals
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Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of Patient Voice.

Journal of medical Internet research Feb 19, 2021
COVID-19 cases are exponentially increasing worldwide; however, its clinical phenotype remains unclear. Natural language processing (NLP) and machine learning approaches may yield key methods to rapidly identify individuals at a high risk of COVID-19...
Communications Media SARS-CoV-2 Natural Language Processing Ambulatory Care Humans Machine Learning COVID-19 Phenotype Electronic Health Records
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Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes.

Journal of medical Internet research Feb 12, 2021
BACKGROUND: Acute diseases present severe complications that develop rapidly, exhibit distinct phenotypes, and have profound effects on patient outcomes. Predictive analytics can enhance physicians' care and management of patients with acute diseases...
Phenotype Deep Learning Acute Disease Humans Neural Networks, Computer Research Design
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A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits.

Plant communications Jan 29, 2021
Lodging is a common problem in rice, reducing its yield and mechanical harvesting efficiency. Rice architecture is a key aspect of its domestication and a major factor that limits its high productivity. The ideal rice culm structure, including major_...
Disease Resistance X-Ray Microtomography Phenotype Plant Breeding Deep Learning Oryza Plant Diseases
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Selection of Clinical Text Features for Classifying Suicide Attempts.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (STBs) rely on ICD-9/10-CM diagnosis codes. Electronic health record (EHR) data are being explored to better identify patients, a process called EHR ph...
Prevalence Phenotype Suicide, Attempted Humans Electronic Health Records Cohort Studies Natural Language Processing Machine Learning Female ROC Curve Data Mining Algorithms Male International Classification of Diseases
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