AIMC Topic: Computational Biology

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iTTCA-MFF: identifying tumor T cell antigens based on multiple feature fusion.

Immunogenetics Mar 5, 2022
Cancer is a terrible disease, recent studies reported that tumor T cell antigens (TTCAs) may play a promising role in cancer treatment. Since experimental methods are still expensive and time-consuming, it is highly desirable to develop automatic com...
Support Vector Machine Amino Acids Amino Acid Sequence Mitochondrial Proteins Neoplasms Computational Biology Membrane Proteins Algorithms T-Lymphocytes Humans
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A Broad Learning System to Predict the 28-Day Mortality of Patients Hospitalized with Community-Acquired Pneumonia: A Case-Control Study.

Computational and mathematical methods in medicine Mar 4, 2022
This study was to conduct a model based on the broad learning system (BLS) for predicting the 28-day mortality of patients hospitalized with community-acquired pneumonia (CAP). A total of 1,210 eligible CAP cases from Chifeng Municipal Hospital were ...
Pneumonia Hospitalization Humans Retrospective Studies Community-Acquired Infections Aged Female Neural Networks, Computer Epidemiological Models Male Machine Learning Risk Factors China Computational Biology Middle Aged Case-Control Studies
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Identification of Type 2 Diabetes Based on a Ten-Gene Biomarker Prediction Model Constructed Using a Support Vector Machine Algorithm.

BioMed research international Mar 4, 2022
BACKGROUND: Type 2 diabetes is a major health concern worldwide. The present study is aimed at discovering effective biomarkers for an efficient diagnosis of type 2 diabetes.
Humans Algorithms Gene Expression Profiling Diabetes Mellitus, Type 2 Protein Interaction Maps Support Vector Machine Gene Regulatory Networks Genetic Markers Computational Biology
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Researchers turn to deep learning to decode protein structures.

Proceedings of the National Academy of Sciences of the United States of America Mar 2, 2022
Models, Molecular Research Personnel Protein Conformation Problem Solving Deep Learning Computational Biology Proteins
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Brain Decoding Using fMRI Images for Multiple Subjects through Deep Learning.

Computational and mathematical methods in medicine Mar 1, 2022
Substantial information related to human cerebral conditions can be decoded through various noninvasive evaluating techniques like fMRI. Exploration of the neuronal activity of the human brain can divulge the thoughts of a person like what the subjec...
Magnetic Resonance Imaging Brain Mapping Connectome Humans Functional Neuroimaging Databases, Factual Neural Networks, Computer Imaging, Three-Dimensional Brain Computational Biology Deep Learning
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Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.

Computational and mathematical methods in medicine Feb 24, 2022
OBJECTIVE: To explore the value of machine learning-based magnetic resonance imaging (MRI) liver acceleration volume acquisition (LAVA) dynamic enhanced scanning for diagnosing hilar lesions.
Cholangitis Case-Control Studies Machine Learning Humans Adolescent Young Adult Retrospective Studies Female Male Bile Duct Neoplasms Neural Networks, Computer Computational Biology Magnetic Resonance Imaging Aged Adult Middle Aged Liver Klatskin Tumor Aged, 80 and over
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Recent advances in predicting protein-protein interactions with the aid of artificial intelligence algorithms.

Current opinion in structural biology Feb 23, 2022
Protein-protein interactions (PPIs) are essential in the regulation of biological functions and cell events, therefore understanding PPIs have become a key issue to understanding the molecular mechanism and investigating the design of drugs. Here we ...
Artificial Intelligence Algorithms Protein Interaction Mapping Computational Biology
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Effective of Smart Mathematical Model by Machine Learning Classifier on Big Data in Healthcare Fast Response.

Computational and mathematical methods in medicine Feb 23, 2022
In the past few years, big data related to healthcare has become more important, due to the abundance of data, the increasing cost of healthcare, and the privacy of healthcare. Create, analyze, and process large and complex data that cannot be proces...
Electronic Health Records Big Data Computational Biology Algorithms Delivery of Health Care Databases, Factual Humans Machine Learning
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The Effects of Rso2 and PI Monitoring Images on the Treatment of Premature Infants Based on Deep Learning.

Computational and mathematical methods in medicine Feb 22, 2022
In recent years, due to the combined effects of individual behavior, psychological factors, environmental exposure, medical conditions, biological factors, etc., the incidence of preterm birth has gradually increased, so the incidence of various comp...
Deep Learning Computational Biology Monitoring, Physiologic Posture Infant, Newborn Premature Birth Male Perfusion Index Oxygen Image Interpretation, Computer-Assisted Infant, Premature Brain Female Humans Neural Networks, Computer
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A Hemolysis Image Detection Method Based on GAN-CNN-ELM.

Computational and mathematical methods in medicine Feb 22, 2022
Since manual hemolysis test methods are given priority with practical experience and its cost is high, the characteristics of hemolysis images are studied. A hemolysis image detection method based on generative adversarial networks (GANs) and convolu...
Humans Neural Networks, Computer Machine Learning Image Enhancement Hemolysis Hematologic Tests Algorithms Computational Biology Image Interpretation, Computer-Assisted
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