AIMC Topic: Phenotype

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Investigation on the fault monitoring of high-voltage circuit breaker using improved deep learning.

PloS one Dec 1, 2023
Mechanical faults are the main causes of abnormal opening, refusal operation, or malfunction of high-voltage circuit breakers. Accurately assessing the operational condition of high-voltage circuit breakers and delivering fault evaluations is essenti...
Phenotype Reproducibility of Results Systems Analysis Research Design Deep Learning
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Transformer with convolution and graph-node co-embedding: An accurate and interpretable vision backbone for predicting gene expressions from local histopathological image.

Medical image analysis Nov 20, 2023
Inferring gene expressions from histopathological images has long been a fascinating yet challenging task, primarily due to the substantial disparities between the two modality. Existing strategies using local or global features of histological image...
Phenotype Image Processing, Computer-Assisted Neural Networks, Computer Humans Gene Expression
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Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries.

Nature genetics Nov 20, 2023
Biobanks that collect deep phenotypic and genomic data across many individuals have emerged as a key resource in human genetics. However, phenotypes in biobanks are often missing across many individuals, limiting their utility. We propose AutoComplet...
Genome-Wide Association Study Biological Specimen Banks Deep Learning Genotype Polymorphism, Single Nucleotide Humans Phenotype
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Natural language processing diagnosed behavioural disturbance phenotypes in the intensive care unit: characteristics, prevalence, trajectory, treatment, and outcomes.

Critical care (London, England) Nov 4, 2023
BACKGROUND: Natural language processing (NLP) may help evaluate the characteristics, prevalence, trajectory, treatment, and outcomes of behavioural disturbance phenotypes in critically ill patients.
Humans Phenotype Prevalence Natural Language Processing Respiration, Artificial Intensive Care Units
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DeepGAMI: deep biologically guided auxiliary learning for multimodal integration and imputation to improve genotype-phenotype prediction.

Genome medicine Oct 31, 2023
BACKGROUND: Genotypes are strongly associated with disease phenotypes, particularly in brain disorders. However, the molecular and cellular mechanisms behind this association remain elusive. With emerging multimodal data for these mechanisms, machine...
Neural Networks, Computer Alzheimer Disease Machine Learning Animals Genotype Phenotype Mice
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Automated staging of zebrafish embryos with deep learning.

Life science alliance Oct 26, 2023
The zebrafish () is an important biomedical model organism used in many disciplines. The phenomenon of developmental delay in zebrafish embryos has been widely reported as part of a mutant or treatment-induced phenotype. However, the detection and qu...
Animals Phenotype Zebrafish Deep Learning
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Walking the path of treatable traits in interstitial lung diseases.

Respiratory research Oct 24, 2023
Interstitial lung diseases (ILDs) are complex and heterogeneous diseases. The use of traditional diagnostic classification in ILD can lead to suboptimal management, which is worsened by not considering the molecular pathways, biological complexity, a...
Lung Diseases, Interstitial Phenotype Artificial Intelligence Lung Humans
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Epidemiology of osteoarthritis: literature update 2022-2023.

Current opinion in rheumatology Oct 19, 2023
PURPOSE OF REVIEW: This review highlights recently published studies on osteoarthritis (OA) epidemiology, including topics related to understudied populations and joints, imaging, and advancements in artificial intelligence (AI) methods.
Risk Factors Artificial Intelligence Osteoarthritis Humans Phenotype Diagnostic Imaging
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Response to Folweiler KA et al., Unsupervised Machine Learning Reveals Novel Traumatic Brain Injury Patient Phenotypes With Distinct Acute Injury Profiles and Long-Term Outcomes (DOI: 10.1089/neu.2019.6705).

Journal of neurotrauma Oct 18, 2023
Brain Injuries, Traumatic Humans Phenotype Unsupervised Machine Learning
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Batch normalization followed by merging is powerful for phenotype prediction integrating multiple heterogeneous studies.

PLoS computational biology Oct 16, 2023
Heterogeneity in different genomic studies compromises the performance of machine learning models in cross-study phenotype predictions. Overcoming heterogeneity when incorporating different studies in terms of phenotype prediction is a challenging an...
Reproducibility of Results Genomics Phenotype Algorithms Machine Learning
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