AIMC Topic: Autoantibodies

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Machine learning characterization of a rare neurologic disease via electronic health records: a proof-of-principle study on stiff person syndrome.

BMC neurology Aug 3, 2024
BACKGROUND: Despite the frequent diagnostic delays of rare neurologic diseases (RND), it remains difficult to study RNDs and their comorbidities due to their rarity and hence the statistical underpowering. Affecting one to two in a million annually, ...
Female Aged Adult Male Humans Machine Learning Electronic Health Records Middle Aged Rare Diseases Support Vector Machine Stiff-Person Syndrome Autoantibodies Glutamate Decarboxylase Proof of Concept Study
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ESCCPred: a machine learning model for diagnostic prediction of early esophageal squamous cell carcinoma using autoantibody profiles.

British journal of cancer Jul 2, 2024
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a deadly cancer with no clinically ideal biomarkers for early diagnosis. The objective of this study was to develop and validate a user-friendly diagnostic tool for early ESCC detection.
Esophageal Neoplasms Middle Aged Esophageal Squamous Cell Carcinoma Aged Early Detection of Cancer Biomarkers, Tumor ROC Curve Humans Autoantibodies Male Support Vector Machine Machine Learning Female
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A machine learning-based diagnosis modeling of IgG4 Hashimoto's thyroiditis.

Endocrine May 29, 2024
PURPOSE: This study aims to develop a non-invasive diagnosis model using machine learning (ML) for identifying high-risk IgG4 Hashimoto's thyroiditis (HT) patients.
Immunoglobulin G Retrospective Studies Female Aged Humans Machine Learning Prospective Studies Middle Aged Support Vector Machine Autoantibodies Hashimoto Disease Adult Sensitivity and Specificity Male
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Modeling type 1 diabetes progression using machine learning and single-cell transcriptomic measurements in human islets.

Cell reports. Medicine Apr 26, 2024
Type 1 diabetes (T1D) is a chronic condition in which beta cells are destroyed by immune cells. Despite progress in immunotherapies that could delay T1D onset, early detection of autoimmunity remains challenging. Here, we evaluate the utility of mach...
Gene Expression Profiling Transcriptome Single-Cell Analysis Insulin-Secreting Cells Islets of Langerhans Diabetes Mellitus, Type 1 Autoantibodies Adult Male Disease Progression Humans Machine Learning Female
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Anti-mutated citrullinated vimentin antibodies are increased in IPF patients.

Respiratory medicine and research Dec 14, 2023
INTRO: An increased prevalence of serum anti-MCV antibody is observed in the serum of patients with idiopathic pulmonary fibrosis (IPF) but the clinical relevance of these antibodies is unknown.
Female Aged Autoantibodies Male Humans Middle Aged Registries Mutation Prospective Studies Vimentin Anti-Citrullinated Protein Antibodies Idiopathic Pulmonary Fibrosis
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Electroencephalographic abnormalities in children with type 1 diabetes mellitus: a prospective study.

Turkish journal of medical sciences Oct 12, 2023
BACKGROUND/AIM: The aim herein was to investigate epileptiform discharges on electroencephalogram (EEG), their correlation with glutamic acid decarboxylase 65 autoantibody (GAD-ab) in newly diagnosed pediatric type 1 diabetes mellitus (T1DM) patients...
Glutamate Decarboxylase Child, Preschool Humans Epilepsy Child Male Longitudinal Studies Prospective Studies Autoantibodies Diabetes Mellitus, Type 1 Infant Female Electroencephalography Adolescent
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Computational model of the full-length TSH receptor.

eLife Oct 28, 2022
(GPCR)The receptor for TSH receptor (TSHR), a G protein coupled receptor (GPCR), is of particular interest as the primary antigen in autoimmune hyperthyroidism (Graves' disease) caused by stimulating TSHR antibodies. To date, only one domain of the e...
Artificial Intelligence Receptors, G-Protein-Coupled Thyrotropin Leucine Receptors, Thyrotropin Autoantibodies Ligands
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Predicting residues involved in anti-DNA autoantibodies with limited neural networks.

Medical & biological engineering & computing Mar 18, 2022
Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing fields that leverage existing datasets for developing compounds of interest. Computational proteomics utilizes algorithms and models to probe proteins for ...
Proteins DNA Neural Networks, Computer Autoantibodies Algorithms Binding Sites
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Application of deep-learning to the seronegative side of the NMO spectrum.

Journal of neurology Jul 30, 2021
OBJECTIVES: To apply a deep-learning algorithm to brain MRIs of seronegative patients with neuromyelitis optica spectrum disorders (NMOSD) and NMOSD-like manifestations and assess whether their structural features are similar to aquaporin-4-seroposit...
Humans Aquaporin 4 Neuromyelitis Optica Deep Learning Autoantibodies Myelin-Oligodendrocyte Glycoprotein
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Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients.

Frontiers in immunology Apr 1, 2021
Recurrent reproductive failure (RRF), such as recurrent pregnancy loss and repeated implantation failure, is characterized by complex etiologies and particularly associated with diverse maternal factors. It is currently believed that RRF is closely a...
Autoantibodies Reproductive Techniques, Assisted Deep Learning Pregnancy Outcome Endometrium Humans Pregnancy Female
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