AIMC Topic: Disease

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CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations.

Computers in biology and medicine Jun 9, 2023
MicroRNAs have a significant role in the emergence of various human disorders. Consequently, it is essential to understand the existing interactions between miRNAs and diseases, as this will help scientists better study and comprehend the diseases' b...
Humans Neighborhood Characteristics MicroRNAs Disease Algorithms Computer Simulation Support Vector Machine
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Overcoming regional limitations: transfer learning for cross-regional microbial-based diagnosis of diseases.

Gut Oct 28, 2022
Humans Gastrointestinal Microbiome Machine Learning Disease
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Nested epistasis enhancer networks for robust genome regulation.

Science (New York, N.Y.) Aug 11, 2022
Mammalian genomes have multiple enhancers spanning an ultralong distance (>megabases) to modulate important genes, but it is unclear how these enhancers coordinate to achieve this task. We combine multiplexed CRISPRi screening with machine learning t...
Disease K562 Cells Genome-Wide Association Study Cell Cycle Proteins Humans Epistasis, Genetic Machine Learning Nuclear Proteins Enhancer Elements, Genetic Transcription Factors
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Role of Deep Learning in Predicting Aging-Related Diseases: A Scoping Review.

Cells Oct 28, 2021
Aging refers to progressive physiological changes in a cell, an organ, or the whole body of an individual, over time. Aging-related diseases are highly prevalent and could impact an individual's physical health. Recently, artificial intelligence (AI)...
Aging Deep Learning Disease Humans Neural Networks, Computer
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Disease variant prediction with deep generative models of evolutionary data.

Nature Oct 27, 2021
Quantifying the pathogenicity of protein variants in human disease-related genes would have a marked effect on clinical decisions, yet the overwhelming majority (over 98%) of these variants still have unknown consequences. In principle, computational...
Proteins Unsupervised Machine Learning Models, Molecular Genetic Predisposition to Disease Evolution, Molecular Disease Selection, Genetic Genetic Fitness Bayes Theorem Biological Assay Genetic Variation Humans Phenotype
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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...
Undiagnosed Diseases Rare Diseases Multifactorial Inheritance Humans Machine Learning Phenotype Genomics Databases, Genetic Disease
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Permutation-based identification of important biomarkers for complex diseases via machine learning models.

Nature communications May 21, 2021
Study of human disease remains challenging due to convoluted disease etiologies and complex molecular mechanisms at genetic, genomic, and proteomic levels. Many machine learning-based methods have been developed and widely used to alleviate some anal...
Humans Neural Networks, Computer Machine Learning Algorithms Proteomics Biomarkers Support Vector Machine Neoplasms Disease
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Development of machine learning model for diagnostic disease prediction based on laboratory tests.

Scientific reports Apr 7, 2021
The use of deep learning and machine learning (ML) in medical science is increasing, particularly in the visual, audio, and language data fields. We aimed to build a new optimized ensemble model by blending a DNN (deep neural network) model with two ...
Clinical Laboratory Techniques Deep Learning ROC Curve Disease Humans Databases, Factual Diagnosis, Computer-Assisted Neural Networks, Computer Machine Learning
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Systematic analysis of binding of transcription factors to noncoding variants.

Nature Jan 27, 2021
Many sequence variants have been linked to complex human traits and diseases, but deciphering their biological functions remains challenging, as most of them reside in noncoding DNA. Here we have systematically assessed the binding of 270 human trans...
Support Vector Machine Ligands Genome, Human Polymorphism, Single Nucleotide Transcription Factors Disease Humans Binding Sites Protein Binding SELEX Aptamer Technique
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Transfer learning with chest X-rays for ER patient classification.

Scientific reports Dec 1, 2020
One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (ARDS) in the emergency room (ER) is distinguishing between cardiac vs infectious etiologies for their pulmonary findings. We conducted a retrospective ...
Radiography, Thoracic Deep Learning Humans Disease Patients Respiratory Distress Syndrome Retrospective Studies Emergency Service, Hospital
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