ArticleScience (New York, N.Y.)2025
Disease diagnostics using machine learning of B cell and T cell receptor sequences.
Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed.
- Dynamic involvement of the core gut microbiome XNP_Guild1 in the evolution of gestational diabetes mellitus.Gut microbes · 2026Article
- How Big Data and AI are revolutionizing human immunology.Nature reviews. Immunology · 2026Article
- Article
- T Cell Thoughts.Immunological reviews · 2026Review
- Unsupervised identification of low-frequency antigen-specific TCRs using distance-based anomaly scoring.Briefings in bioinformatics · 2026Article
- Naïve adaptive immune receptor repertoires in celiac disease assessed by machine learning; impact of the HLA-DQ2.5 allotype on the TCR repertoire.Immunogenetics · 2026Article
- Machine Learning of Personal Repertoires From Public T Cell Receptors.Immunological reviews · 2026Review
- Integrating structurally defined DNA-carbon nanotube sensors with machine learning for cancer detection.Science advances · 2026Article
- Language Model Embedding Classifiers Enable Identification of Multiple Sclerosis-Associated BCRs and Repertoires.bioRxiv : the preprint server for biology · 2026Article
- A multi-fidelity tabular prior-data fitted network model for accurate prediction and uncertainty quantification.Nature communications · 2026Article
- Modeling TCR-Epitope Recognition Specificity: What We Should Learn to Succeed.Immunological reviews · 2026Review
- The T Cell Receptor: Molecular Sensor, Therapeutic Mediator and Probabilistic Driver of Adaptive Immunity.Immunological reviews · 2026Review
- Innovative strategies for diabetic peripheral neuropathy: From clinical management to emerging bioengineering solutions.Bioactive materials · 2026Review
- Biographical Feature: Benjamin A. Pinsky, MD, PhD.Journal of clinical microbiology · 2026Article
- Synthetic rewriting of the IGH locus.Cell genomics · 2026Article
- Pre-transplant TCR Network Topology Predicts Kidney Allograft Rejection Independent of HLA Mismatch.bioRxiv : the preprint server for biology · 2026Article
- T Cell Receptor Repertoires Across the Continuum of Vascular, Myocardial, and Age-Related Diseases.Immunological reviews · 2026Review
- Advances in predicting T cell epitope recognition for cancer immunotherapy.Nature cancer · 2026Review
- Protein foundation models: a comprehensive survey.Science China. Life sciences · 2026Review
- Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
- Update of
Authors and funding
37 authors.
Funding
Abstract
Clinical diagnosis typically incorporates physical examination, patient history, various laboratory tests, and imaging studies but makes limited use of the human immune system's own record of antigen exposures encoded by receptors on B cells and T cells. We analyzed immune receptor datasets from 593 individuals to develop MAchine Learning for Immunological Diagnosis, an interpretive framework to screen for multiple illnesses simultaneously or precisely test for one condition. This approach detects specific infections, autoimmune disorders, vaccine responses, and disease severity differences. Human-interpretable features of the model recapitulate known immune responses to severe acute respiratory syndrome
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.