Artificial Intelligence and Machine Learning for Inborn Errors of Immunity: Current State and Future Promise-Reference-Cited by-同舟云学术

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Artificial Intelligence and Machine Learning for Inborn Errors of Immunity: Current State and Future Promise

Published:2024-08 Issue: Volume: Page:
ISSN:2213-2198
Container-title:The Journal of Allergy and Clinical Immunology: In Practice
language:en
Short-container-title:The Journal of Allergy and Clinical Immunology: In Practice

Author:

Martinson Alexandra K.^ORCID,Chin Aaron T.,Butte Manish J.,Rider Nicholas L.

Funder

Takeda Pharmaceutical Company

National Institutes of Health

California Department of Public Health

National Institute of Allergy and Infectious Diseases

Centers for Disease Control and Prevention

Jeffrey Modell Foundation

Horizon Therapeutics

Bill and Melinda Gates Foundation

Publisher

Elsevier BV

Reference98 articles.

1. Artificial intelligence (AI) in rare diseases: is the future brighter?;Brasil;Genes,2019

2. On the role of artificial intelligence in genomics to enhance precision medicine;Álvarez-Machancoses;Pharmacogenomics Pers Med,2020

3. Establishing a second-generation artificial intelligence-based system for improving diagnosis, treatment, and monitoring of patients with rare diseases;Hurvitz;Eur J Hum Genet,2021

4. Human inborn errors of immunity: an expanding universe;Notarangelo;Sci Immunol,2020

5. The 2022 update of IUIS phenotypical classification for human inborn errors of immunity;Bousfiha;J Clin Immunol,2022

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