AIMC Topic: Machine Learning

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Graph Representation Learning Based on Specific Subgraphs for Biomedical Interaction Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Discovering the novel associations of biomedical entities is of great significance and can facilitate not only the identification of network biomarkers of disease but also the search for putative drug targets.Graph representation learning (GRL) has i...
Machine Learning Humans Neural Networks, Computer Algorithms Computational Biology
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Geometry-Augmented Molecular Representation Learning for Property Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Accurate molecular representation plays a crucial role in expediting the process of drug discovery. Graph neural networks (GNNs) have demonstrated robust capabilities in molecular representation learning, adept at capturing structural and spatial inf...
Neural Networks, Computer Machine Learning Algorithms Drug Discovery Computational Biology Models, Molecular
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Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
DNA damage is a critical factor in the onset and progression of cancer. When DNA is damaged, the number of genetic mutations increases, making it necessary to activate DNA repair mechanisms. A crucial factor in the base excision repair process, which...
Algorithms Neoplasms Polymorphism, Single Nucleotide Humans Machine Learning Computational Biology Mutation DNA Polymerase beta
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HybAVPnet: A Novel Hybrid Network Architecture for Antiviral Peptides Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Viruses pose a great threat to human production and life, thus the research and development of antiviral drugs is urgently needed. Antiviral peptides play an important role in drug design and development. Compared with the time-consuming and laboriou...
Computational Biology Peptides Antiviral Agents Neural Networks, Computer Machine Learning Algorithms
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FluPMT: Prediction of Predominant Strains of Influenza A Viruses via Multi-Task Learning.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Seasonal influenza vaccines play a crucial role in saving numerous lives annually. However, the constant evolution of the influenza A virus necessitates frequent vaccine updates to ensure its ongoing effectiveness. The decision to develop a new vacci...
Algorithms Influenza A virus Computational Biology Evolution, Molecular Influenza, Human Influenza Vaccines Humans Machine Learning Hemagglutinin Glycoproteins, Influenza Virus
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SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
MicroRNAs (miRNA) are endogenous non-coding RNAs, typically around 23 nucleotides in length. Many miRNAs have been founded to play crucial roles in gene regulation though post-transcriptional repression in animals. Existing studies suggest that the d...
Neural Networks, Computer Neoplasms Machine Learning Genetic Predisposition to Disease MicroRNAs Humans Computational Biology Algorithms
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Machine learning-based identification and validation of aging-related genes in cardiomyocytes from patients with atrial fibrillation.

Minerva cardiology and angiology Oct 8, 2024
BACKGROUND: Aging is a key risk factor for atrial fibrillation (AF), a prevalent cardiac disorder among the elderly. This study aims to elucidate the genetic underpinnings of AF in the context of aging.
Humans Machine Learning Aging Female Atrial Fibrillation Aged Myocytes, Cardiac Male
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Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning.

Pediatric research Oct 8, 2024
BACKGROUND: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.
Machine Learning Algorithms Retrospective Studies Humans Bronchopulmonary Dysplasia ROC Curve Morbidity Female Infant, Newborn Male Infant, Premature, Diseases Infant Mortality Enterocolitis, Necrotizing Infant, Premature Infant, Very Low Birth Weight
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Predicting criminal offence in adolescents who exhibit antisocial behaviour: a machine learning study using data from a large randomised controlled trial of multisystemic therapy.

European child & adolescent psychiatry Oct 8, 2024
INTRODUCTION: Accurate prediction of short-term offending in young people exhibiting antisocial behaviour could support targeted interventions. Here we develop a set of machine learning (ML) models that predict offending status with good accuracy; fu...
Humans Antisocial Personality Disorder Machine Learning Child Female Criminals Male England Adolescent
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Development and validation of the PHM-CPA model to predict in-hospital mortality for cirrhotic patients with acute kidney injury.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Oct 8, 2024
BACKGROUND: The presence of acute kidney injury (AKI) significantly increases in-hospital mortality risk for cirrhotic patients. Early prognosis prediction for these patients is crucial. We aimed to develop and validate a machine learning model for i...
Liver Cirrhosis Male Middle Aged Risk Assessment China Hospital Mortality Logistic Models Acute Kidney Injury Female Aged Prognosis Retrospective Studies Humans Machine Learning
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