AI Medical Compendium Journal:
Journal of immunology (Baltimore, Md. : 1950)

Showing 1 to 4 of 4 articles

A Deep Learning Model for Accurate Diagnosis of Infection Using Antibody Repertoires.

Journal of immunology (Baltimore, Md. : 1950) May 23, 2022
The adaptive immune receptor repertoire consists of the entire set of an individual's BCRs and TCRs and is believed to contain a record of prior immune responses and the potential for future immunity. Analyses of TCR repertoires via deep learning (DL...
Humans COVID-19 Deep Learning Receptors, Antigen, T-Cell Amino Acid Sequence
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SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

Journal of immunology (Baltimore, Md. : 1950) Jun 14, 2019
Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive...
Humans Machine Learning Algorithms Female Young Adult Adult Male Adolescent Child Vaccination CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Influenza, Human Data Mining Influenza Vaccines Datasets as Topic T-Lymphocyte Subsets
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Pan-Specific Prediction of Peptide-MHC Class I Complex Stability, a Correlate of T Cell Immunogenicity.

Journal of immunology (Baltimore, Md. : 1950) Jul 8, 2016
Binding of peptides to MHC class I (MHC-I) molecules is the most selective event in the processing and presentation of Ags to CTL, and insights into the mechanisms that govern peptide-MHC-I binding should facilitate our understanding of CTL biology. ...
Humans Neural Networks, Computer Epitopes, T-Lymphocyte Peptides Lymphocyte Activation Histocompatibility Antigens Class I Protein Stability Antigen Presentation
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High-dimensional Immune Profiles and Machine Learning May Predict Acute Myeloid Leukemia Relapse Early following Transplant.

Journal of immunology (Baltimore, Md. : 1950) Nov 15, 2024
Identification of early immune signatures associated with acute myeloid leukemia (AML) relapse following hematopoietic stem cell transplant (HSCT) is critical for patient outcomes. We analyzed PBMCs from 58 patients with AML undergoing HSCT, focusing...
Humans Machine Learning Algorithms Female Aged Adult Leukemia, Myeloid, Acute Male Middle Aged CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Hematopoietic Stem Cell Transplantation Recurrence
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