AIMC Topic: Phenotype

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TRIOMPHE: Transcriptome-Based Inference and Generation of Molecules with Desired Phenotypes by Machine Learning.

Journal of chemical information and modeling Sep 16, 2021
One of the most challenging tasks in the drug-discovery process is the efficient identification of small molecules with desired phenotypes. In this study, we propose a novel computational method for omics-based drug design, which we call TRIOMPHE (t...
Phenotype Drug Design Drug Discovery Transcriptome Machine Learning
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Identifying digenic disease genes via machine learning in the Undiagnosed Diseases Network.

American journal of human genetics Sep 15, 2021
Rare diseases affect millions of people worldwide, and discovering their genetic causes is challenging. More than half of the individuals analyzed by the Undiagnosed Diseases Network (UDN) remain undiagnosed. The central hypothesis of this work is th...
Multifactorial Inheritance Undiagnosed Diseases Databases, Genetic Disease Rare Diseases Humans Machine Learning Phenotype Genomics
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Multi-parametric MRI phenotype with trustworthy machine learning for differentiating CNS demyelinating diseases.

Journal of translational medicine Sep 6, 2021
BACKGROUND: Misdiagnosis of multiple sclerosis (MS) and neuromyelitis optica (NMO) may delay the treatment, resulting in poor prognosis. However, the precise identification of these two diseases is still challenging in clinical practice. We aimed to ...
Neuromyelitis Optica Phenotype Retrospective Studies Magnetic Resonance Imaging Humans Machine Learning
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Magnetic Resonance Imaging Phenotypes of Breast Cancer Molecular Subtypes: A Systematic Review.

Academic radiology Sep 2, 2021
OBJECTIVE: Magnetic resonance imaging (MRI) is the most sensitive imaging modality in detecting breast cancer. The purpose of this systematic review is to investigate the role of human extracted MRI phenotypes in classifying molecular subtypes of bre...
Retrospective Studies Female Breast Neoplasms Humans Diffusion Magnetic Resonance Imaging Artificial Intelligence Phenotype
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FordNet: Recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule.

Pharmacological research Sep 2, 2021
Traditional Chinese medicine (TCM) formula is widely used for thousands of years in clinical practice. With the development of artificial intelligence, deep learning models may help doctors prescribe reasonable formulas. Meanwhile, current studies of...
Phenotype Medicine, Chinese Traditional Network Pharmacology Humans Neural Networks, Computer
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Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping.

PloS one Sep 2, 2021
Cosegmentation is a newly emerging computer vision technique used to segment an object from the background by processing multiple images at the same time. Traditional plant phenotyping analysis uses thresholding segmentation methods which result in h...
Benchmarking Deep Learning Crop Production Humans Image Processing, Computer-Assisted Markov Chains Helianthus Phenotype Cluster Analysis Crops, Agricultural Fagopyrum
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Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.

The Lancet. Digital health Sep 1, 2021
BACKGROUND: Delays in the diagnosis of genetic syndromes are common, particularly in low and middle-income countries with limited access to genetic screening services. We, therefore, aimed to develop and evaluate a machine learning-based screening te...
Humans Machine Learning Reproducibility of Results Sensitivity and Specificity Male Phenotype Retrospective Studies Female Internationality Face Facial Expression Asia Photography Africa Point-of-Care Systems Genetic Diseases, Inborn Hispanic or Latino Risk Assessment White People Infant
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Predicting phenotypes from genetic, environment, management, and historical data using CNNs.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Aug 27, 2021
Convolutional Neural Networks (CNNs) can perform similarly or better than standard genomic prediction methods when sufficient genetic, environmental, and management data are provided. Predicting phenotypes from genetic (G), environmental (E), and man...
Genomics Crops, Agricultural Neural Networks, Computer Zea mays Machine Learning Data Mining Phenotype
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NGS and phenotypic ontology-based approaches increase the diagnostic yield in syndromic retinal diseases.

Human genetics Aug 26, 2021
Syndromic retinal diseases (SRDs) are a group of complex inherited systemic disorders, with challenging molecular underpinnings and clinical management. Our main goal is to improve clinical and molecular SRDs diagnosis, by applying a structured pheno...
Genetic Testing High-Throughput Nucleotide Sequencing Retinal Diseases Gene Ontology Eye Diseases, Hereditary Ciliopathies Prospective Studies Molecular Diagnostic Techniques Retrospective Studies Mutation Female Humans Syndrome Male Phenotype Cohort Studies Genetic Association Studies
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Systematic Review of the Effectiveness of Machine Learning Algorithms for Classifying Pain Intensity, Phenotype or Treatment Outcomes Using Electroencephalogram Data.

The journal of pain Aug 21, 2021
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroencephalogram (EEG) data demonstrate promising results. The primary aim of this review was to evaluate the effectiveness of ML algorithms for predicting pai...
Electroencephalography Phenotype Pain Treatment Outcome Humans Pain Measurement Machine Learning Algorithms
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