AIMC Topic: Phenotype

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Unsupervised machine learning for species delimitation, integrative taxonomy, and biodiversity conservation.

Molecular phylogenetics and evolution Oct 5, 2023
Integrative taxonomy, combining data from multiple axes of biologically relevant variation, is a major goal of systematics. Ideally, such taxonomies will derive from similarly integrative species-delimitation analyses. Yet, most current methods rely ...
Humans Unsupervised Machine Learning Biodiversity Species Specificity Phenotype Phylogeny
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Artificial intelligence and heart failure: A state-of-the-art review.

European journal of heart failure Sep 8, 2023
Heart failure (HF) is a heterogeneous syndrome affecting more than 60 million individuals globally. Despite recent advancements in understanding of the pathophysiology of HF, many issues remain including residual risk despite therapy, understanding t...
Heart Failure Phenotype Artificial Intelligence Clinical Decision-Making Algorithms Humans
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Artificial intelligence for dementia genetics and omics.

Alzheimer's & dementia : the journal of the Alzheimer's Association Aug 22, 2023
Genetics and omics studies of Alzheimer's disease and other dementia subtypes enhance our understanding of underlying mechanisms and pathways that can be targeted. We identified key remaining challenges: First, can we enhance genetic studies to addre...
Artificial Intelligence Machine Learning Humans Alzheimer Disease Phenotype Precision Medicine
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Circulating Biomarkers Instead of Genotyping to Establish Metabolizer Phenotypes.

Annual review of pharmacology and toxicology Aug 16, 2023
Pharmacogenomics (PGx) enables personalized treatment for the prediction of drug response and to avoid adverse drug reactions. Currently, PGx mainly relies on the genetic information of absorption, distribution, metabolism, and excretion (ADME) targe...
Artificial Intelligence Phenotype Genotype Drug-Related Side Effects and Adverse Reactions Biomarkers Humans
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Machine Learning Approaches to the Prediction of Osteoarthritis Phenotypes and Outcomes.

Current rheumatology reports Aug 10, 2023
PURPOSE OF REVIEW: Osteoarthritis (OA) is a complex heterogeneous disease with no effective treatments. Artificial intelligence (AI) and its subfield machine learning (ML) can be applied to data from different sources to (1) assist clinicians and pat...
Biomarkers Prognosis Osteoarthritis Disease Progression Machine Learning Phenotype Humans Artificial Intelligence
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PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework.

Nature genetics Aug 7, 2023
Several molecular and phenotypic algorithms exist that establish genotype-phenotype correlations, including facial recognition tools. However, no unified framework that investigates both facial data and other phenotypic data directly from individuals...
Humans Artificial Intelligence Machine Learning Biological Variation, Population Matrix Attachment Region Binding Proteins Transcription Factors Algorithms DNA-Binding Proteins Phenotype
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Improving the classification of cardinality phenotypes using collections.

Journal of biomedical semantics Aug 7, 2023
MOTIVATION: Phenotypes are observable characteristics of an organism and they can be highly variable. Information about phenotypes is collected in a clinical context to characterize disease, and is also collected in model organisms and stored in mode...
Databases, Factual Animals Machine Learning Phenotype Mammals Biological Ontologies Humans
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deepGBLUP: joint deep learning networks and GBLUP framework for accurate genomic prediction of complex traits in Korean native cattle.

Genetics, selection, evolution : GSE Jul 31, 2023
BACKGROUND: Genomic prediction has become widespread as a valuable tool to estimate genetic merit in animal and plant breeding. Here we develop a novel genomic prediction algorithm, called deepGBLUP, which integrates deep learning networks and a geno...
Quantitative Trait Loci Cattle Models, Genetic Polymorphism, Single Nucleotide Multifactorial Inheritance Genomics Animals Bayes Theorem Genotype Phenotype Deep Learning Republic of Korea
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Applications of artificial intelligence in clinical laboratory genomics.

American journal of medical genetics. Part C, Seminars in medical genetics Jul 28, 2023
The transition from analog to digital technologies in clinical laboratory genomics is ushering in an era of "big data" in ways that will exceed human capacity to rapidly and reproducibly analyze those data using conventional approaches. Accurately ev...
Genetic Testing Laboratories, Clinical Phenotype Humans Genomics Artificial Intelligence
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Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics.

Current opinion in biotechnology Jul 27, 2023
Over the last decades, significant strides were made in understanding the biochemical factors influencing the nutritional content and flavor profile of fruits and vegetables. Product differentiation in the produce aisle is the natural consequence of ...
Phenotype Crops, Agricultural Artificial Intelligence Plant Breeding Machine Learning
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