Evidence map›Paper›PMID 40972982›Full record

ArticleThe Journal of allergy and clinical immunology2026

Proceedings of the second Artificial Intelligence in Primary Immunodeficiency (AIPI) meeting.

Jacques G Rivière, Lisa Bastarache, Luiza C Campos, Gerard Carot-Sans, Aaron Chin, Rumi Chunara, Charlotte Cunningham-Rundles, Lorenzo Erra, Jocelyn Farmer, Nicolas Garcelon and 33 more

Abstract readConference Proceedings
In one paragraph

Article in The Journal of allergy and clinical immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

43 authors.

Jacques G RivièreUniversitat Autònoma de Barcelona, Barcelona, Spain; Infection and Immunity in Pediatric Patients Research Group, Vall d'Hebron Institut de Recerca, Barcelona, Spain; Pediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Infantil i de La Dona Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain; Jeffrey Modell Diagnostic and Research Center for Primary Immunodeficiencies, Barcelona, Spain. Electronic address: jacques.riviere@uab.cat.
Lisa BastaracheVanderbilt University Medical Center, Nashville, Tenn.
Luiza C CamposUniversity College London Institute of Immunity and Transplantation, London, United Kingdom.
Gerard Carot-SansCatalan Health Service, Barcelona, Spain; Digitalization for the Sustainability of the Healthcare System (DS3) Research Group, Barcelona, Spain.
Aaron ChinDepartment of Pediatrics, Division of Immunology, Allergy, and Rheumatology, University of California, Los Angeles, Calif.
Rumi ChunaraSchool of Global Public Health and the Tandon School of Engineering, New York University, New York, NY.
Charlotte Cunningham-RundlesDivision of Allergy and Immunology, Icahn School of Medicine at Mount Sinai, New York, NY.
Lorenzo ErraDepartamento de Fisiología, Biología Molecular y Celular, Instituto de Biociencias, Biotecnología y Biología Traslacional (IB3) e Instituto de Química Biológica (IQUIBICEN), FCEN, UBA, CONICET, Buenos Aires, Argentina.
Jocelyn FarmerProgram in Clinical Immunodeficiency, Division of Allergy & Immunology, Beth Israel Lahey Health, Burlington, Mass.
Nicolas GarcelonData Science Platform, Université Paris Cité, Imagine Institute, INSERM UMR 1163, Paris, France.
Elena HsiehDepartment of Pediatrics, Section of Allergy and Immunology, and the Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colo.
Helen LeavisDepartment of Rheumatology and Clinical Immunology, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
Seungwon LeeComputational Health Informatics Program, Boston Children's Hospital, Boston, Mass.
Liangying LiuFralin Biomedical Research Institute at VTC, Roanoke, Va; Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, Va.
Maaike KustersPaediatric Immunology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Brian C LloydImmune Deficiency Foundation, Hanover, Md.
Alexandra K MartinsonDepartment of Pediatrics, Children's National Hospital, Washington, DC.
Rachel MesterDepartment of Computational Medicine, University of California, Los Angeles, Calif.
Justin B MooreDepartment of Implementation Science, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC.
Despina MoshousPediatric Immunology, Hematology and Rheumatology, Necker-Enfants Malades University Hospital, Assistance Publique-Hôpitaux de Paris, Institut Imagine and Université Paris Cité, Paris, France.
Jordan S OrangeDepartment of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons, Columbia University, New York, NY.
Nefatia ParrishJeffrey Modell Foundation, New York, NY.
Sarah Henrickson ParkerDepartment of Health Systems and Implementation Science, Virginia Tech Carilion School of Medicine, Roanoke, Va.
Bogdan PasaniucDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa.
Xiao P PengDivision of Pediatric Genetic Medicine, Department of Pediatrics, Children's Hospital at Montefiore, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY.
Martine PergentThe International Patient Organisation for Primary Immunodeficiencies, Brussels, Belgium.
Jordi Piera-JiménezCatalan Health Service, Barcelona, Spain; Digitalization for the Sustainability of the Healthcare System (DS3) Research Group, Barcelona, Spain.
Jessica QuinnJeffrey Modell Foundation, New York, NY.
Sidharth RameshMedblocks Inc, Dover, Del.
Kirk RobertsMcWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Tex.
Peter N RobinsonBerlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Guergana SavovaComputational Health Informatics Program, Boston Children's Hospital, Harvard Medical School, Boston, Mass.
Christopher ScalchunesImmune Deficiency Foundation, Hanover, Md.
Markus G SeidelDivision of Pediatric Hematology and Oncology, Department of Pediatric and Adolescent Medicine, Styrian Children's Cancer Research Unit for Cancer and Inborn Errors of the Blood and Immunity in Children, Medical University of Graz, Graz, Austria.
Rachel SimoneauJeffrey Modell Foundation, New York, NY.
Pere Soler-PalacinUniversitat Autònoma de Barcelona, Barcelona, Spain; Infection and Immunity in Pediatric Patients Research Group, Vall d'Hebron Institut de Recerca, Barcelona, Spain; Pediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Infantil i de La Dona Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain; Jeffrey Modell Diagnostic and Research Center for Primary Immunodeficiencies, Barcelona, Spain.
Kathleen E SullivanDivision of Allergy Immunology, The Children's Hospital of Philadelphia, Philadelphia, Pa.
Marielle Van GijnDepartment of Human Genetics, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Chung-Il WiMayo Clinic Children, Mayo Clinic Health System Research, Mayo Clinic, Rochester, Minn.
Dawei ZhouDepartment of Computer Science, Virginia Tech, Blacksburg, Va.
Vanessa TenembaumJeffrey Modell Foundation, New York, NY.
Manish J ButteDepartment of Pediatrics, Division of Immunology, Allergy, and Rheumatology, University of California, Los Angeles, Calif.
Nicholas L RiderDepartment of Health Systems and Implementation Science, Virginia Tech Carilion School of Medicine, Section of Allergy-Immunology, The Carilion Clinic, Roanoke, Va.

Funding

Collaborative multi-site project to speed the identification and management of rare genetic immune diseasesR01AI153827 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUTTE, MANISH J, PASANIUC, BOGDAN · 2021 to 2025
$3.9M
NIAID NIH HHS R01 AI153827
6 · The paper itself

Abstract

The use of artificial intelligence (AI) in inborn errors of immunity offers transformative potential in diagnostics and disease management but faces multiple challenges that were discussed at the second Artificial Intelligence in Primary Immunodeficiency conference, held in New York City (March 19-22, 2025). The conference addressed 7 themes: predictive diagnostic algorithms, health equity, industry collaboration, advanced computational tools like large language models, patient-led AI initiatives, multiomics integration, and implementation science. Discussions highlighted the growing impact of AI on diagnostics, genomics, and health systems, emphasizing the need for high-quality, diverse datasets and ethical safeguards to ensure equitable application. Participants stressed that AI alone cannot resolve systemic inequities or delays in diagnosis. Challenges such as the lack of harmonized datasets, the complexity of integrating multiomics data, ethical concerns, and the difficulty of adapting solutions to low-resource settings were emphasized. Additionally, the use implementation science was pointed out as one of the major challenges to ensure applicability and scalability in real-world settings. This requires overcoming resistance to adoption, addressing infrastructure gaps, and ensuring regulatory compliance. Collaboration across academia, clinicians, patients, regulators, and industry is essential to ensure AI delivers equitable, lasting benefits for individuals with inborn errors of immunity.

Indexed as

Artificial IntelligencePrimary Immunodeficiency DiseasesHumansAI rare diseasesAI scalabilityArtificial intelligenceclinical decision supportelectronic health recordshealth equityimplementation scienceinborn errors of immunitylarge language modelsmachine learning-omicspatient-centered AIprimary immunodeficiency

Identifiers

PMID40972982
PMCPMC12991850

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.