Abstracts tagged "Bioinformatics"

Abstract Number: 2515 • ACR Convergence 2023
Machine Learning-Based Stratification of Mixed Connective Tissue Disease Using Immunophenotyping Data from Patients with Related Autoimmune Diseases
Shinji Izuka¹, Toshihiko Komai¹, Takahiro Itamiya¹, Mineto Ota², Saeko Yamada¹, Yasuo Nagafuchi², Hirofumi Shoda¹, Kosuke Matsuki³, Kazuhiko Yamamoto⁴, Tomohisa Okamura⁵ and Keishi Fujio¹, ¹Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, ²Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, Department of Functional Genomics and Immunological Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan, ³Research Division, Chugai Pharmaceutical Co., Ltd., Yokohama City, Japan, ⁴Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo and Laboratory for Autoimmune Diseases, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan, ⁵Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo and Department of Functional Genomics and Immunological Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Background/Purpose: Mixed connective tissue disease (MCTD) is a heterogenous autoimmune disorder with overlapping clinical features of systemic lupus erythematosus (SLE), polymyositis/dermatomyositis, and systemic sclerosis (SSc).…
Abstract Number: 0132 • ACR Convergence 2023
Feasibility of a Real-Time Risk Model to Identify Antinuclear Antibody Positive Individuals at Risk for Systemic Autoimmune Disease
April Barnado, Ryan Moore, Hank Domenico, Sarah Green, Alex Camai, Ashley Suh, Bryan Han, Katherine Walker, Audrey Anderson, Lannawill Caruth, Anish Katta, Allison McCoy and Daniel W. Byrne, Vanderbilt University Medical Center, Nashville, TN
Background/Purpose: Positive antinuclear antibodies (ANAs) cause diagnostic dilemmas for clinicians across multiple specialties. We previously developed and validated a risk model using a de-identified electronic…
Abstract Number: 0926 • ACR Convergence 2023
Single-cell Multi-Omic Evaluation of Differences in Immune Cell Populations in Progression Toward Systemic Lupus Erythematosus
Aleksandra Bylinska, Miles Smith, Samantha Slight-Webb, Carla Guthridge, Caleb Marlin, Kevin Thomas, Christian Wright, Marci Beel, Susan Macwana, Wade DeJager, Judith James and Joel Guthridge, Oklahoma Medical Research Foundation, Oklahoma City, OK
Background/Purpose: Several groups of individuals are at higher risk for SLE, including those with African American ancestry (AA), lupus-associated autoantibodies (ANA+), or some clinical symptoms…
Abstract Number: 1668 • ACR Convergence 2023
Cell Specific Molecular Profiling of Scleroderma Associated Interstitial Lung Disease Subtypes
Monica Yang¹, Fred Deiter¹, Emily Flynn¹, Jessica Neely¹, Seoyeon Lee², John Greenland¹, Marina Sirota³ and Paul Wolters¹, ¹University of California San Francisco, San Francisco, CA, ²Yale University School of Medicine, New Haven, CT, ³Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA
Background/Purpose: Interstitial lung disease (ILD) is present in up to 90% of patients with systemic sclerosis (SSc) and the leading cause of SSc-related mortality. SSc-ILD…
Abstract Number: 2526 • ACR Convergence 2023
Single-cell RNA Sequencing Reveals the CRTAC1+ Population Actively Contributes to the Pathogenesis of Spinal Ligament Degeneration by Inducing Macrophage Activation
Yulong Tang¹, Dachun Zhuo¹, Li Jin¹, Qi Zhu², Yuanyuan Chen³, Jiucun Wang⁴ and Jing Liu⁴, ¹Fudan University, Shanghai, China, ²Guanghua Integrative Medicine Hospital, Shanghai, China, ³Shanghai Sixth People's Hospital, Shanghai, China, ⁴Shanghai, Shanghai, China
Background/Purpose: Spinal ligament degeneration is a chronic disease that affects the spine, ligaments, and associated bones, resulting in back pain and functional limitations in the…
Abstract Number: 002 • 2023 Pediatric Rheumatology Symposium
Re-analysis of the APPLE (Atherosclerosis Prevention in Paediatric Lupus Erythematosus) Trial Identifies Novel Determinants of Patient Heterogeneity and a Distinct Lipid Metabolomic Signature of Atherosclerosis Progression
Coziana Ciurtin¹, Junjie Peng¹, Pierre Donnes¹, Stacy Ardoin², Laura Schanberg³, Laura Lewandowski⁴, George A Robinson¹ and Elizabeth Jury¹, ¹University College London, London, United Kingdom, ²Nationwide Children's Hospital, Columbus, OH, ³Duke University Medical Center, Durham, NC, ⁴NIAMS, NIH, Bethesda, MD
Background/Purpose: Juvenile-onset systemic lupus erythematosus (JSLE) is associated with chronic inflammation and increased risk of atherosclerosis. The APPLE trial was a randomised, placebo-controlled trial of…
Abstract Number: 015 • 2023 Pediatric Rheumatology Symposium
Epigenetically-Distinct B Cell Profiles Pre- and Post-Induction Therapy in Pediatric Lupus
Joyce Hui-Yuen¹, Kaiyu Jiang², Susan malkiel³, Betty Diamond⁴ and James Jarvis⁵, ¹Cohen Children's Medical Center, Northwell Health, Lake Success, New York; Center for Autoimmune, Musculoskeletal, and Hematopoietic Diseases Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, ²University at Buffalo, Buffalo, NY, ³Feinstein Institutes for Medical Research, Manhasset, NY, ⁴The Feinstein Institutes for Medical Research, Manhasset, NY, ⁵University at Buffalo Jacobs School of Medicine, Buffalo, NY
Background/Purpose: Systemic lupus erythematosus (SLE) may be triggered by gene-environment interactions. Data are scarce on how epigenetic variance contributes to disease risk in pediatric SLE…
Abstract Number: 091 • 2023 Pediatric Rheumatology Symposium
Achieving Remission in Childhood-onset Systemic Lupus Erythematosus: Rapid Implementation of an EMR-integrated Dashboard to Measure Disease Activity and Remission Rates
Kaleo Ede¹, Nikita Goswami², Elisa Wershba², Michael Shishov², Samantha Casselman², Pierina Ortiz² and Vinay Vaidya², ¹Phoenix Children's Hosptial; University of Arizona College of Medicine- Phoenix, Phoenix, AZ, ²Phoenix Children's Hospital, Phoenix, AZ
Background/Purpose: Children with childhood-onset systemic lupus erythematosus (cSLE) experience more severe disease than their adult counterparts, in addition to high rates of clinical depressive symptoms…
Abstract Number: 0334 • ACR Convergence 2022
Performance of Diagnosis Codes for Identification of Prevalent Lupus Nephritis Patients from Electronic Health Records
Zara Izadi¹, Alfredo Aguirre², Christine Anastasiou², Julia Kay³, Gabriela Schmajuk⁴ and Jinoos Yazdany⁵, ¹University of California San Francisco, San Francisco, CA, ²University of California, San Francisco, San Francisco, CA, ³UCSF, San Francisco, CA, ⁴UCSF / SFVA, San Francisco, CA, ⁵UCSF, San Rafael, CA
Background/Purpose: Real-world data could provide valuable information in the study of lupus nephritis (LN), if these cases could be reliably identified. A lack of ability…
Abstract Number: 0999 • ACR Convergence 2022
Differences in Chromatin Accessibility Pre- and Post-Induction Therapy in Pediatric Lupus
Joyce Hui-Yuen¹, Kaiyu Jiang², Susan Malkiel³, Betty Diamond³ and James Jarvis⁴, ¹North Shore LIJ Health System, Great Neck, NY, ²University at Buffalo, Buffalo, NY, ³Feinstein Institutes for Medical Research, Manhasset, NY, ⁴Department of Pediatrics, University at Buffalo Clinical and Translational Research Center, Buffalo, NY
Background/Purpose: Systemic lupus erythematosus (SLE) may be triggered by gene-environment interactions. Data are scarce on how epigenetic variance contributes to disease risk in pediatric SLE…
Abstract Number: 1250 • ACR Convergence 2022
Physiologic Adaptive Change of the Patellar and Achilles Tendons: Sensitivity to Change Detected by Computer Analysis of Sequential Static Images
CARLOS ANTONIO GUILLEN ASTETE, Africa Andreu Suarez and Marina Tortosa Cabanas, Ramon y Cajal University Hospital, Madrid, Spain
Background/Purpose: Ultrasound studies stratify the results of the evaluations in ordinal degrees of intensity of findings dependent on the evaluator's opinion. Computer analysis of static…
Abstract Number: 2211 • ACR Convergence 2022
Identification of Plasma Metabolomic Biomarkers of Juvenile Idiopathic Arthritis
Amar Kumar¹, Joshua Tartarian², Valentina Shakhnovich³, Carl Langefeld⁴, Daniel Lovell⁵, Susan Thompson⁶, Mara Becker⁷ and Ryan Funk⁸, ¹University of Kansas, Kansas City, KS, ²University of Kansas Medical Center, Kansas City, KS, ³University of Missouri-Kansas City School of Medicine & Children’s Mercy Kansas City, Kansas City, MO, ⁴Wake Forest School of Medicine, Winston Salem, NC, ⁵Cincinnati Children's Hospital Medical Center, Cincinnati, OH, ⁶Cincinnati Children's Hospital Medical Center/Univ of Cincinnati College of Medicine, Blue Ash, OH, ⁷Duke University Medical Center/Duke Clinical Research Institute, Durham, NC, ⁸University of Kansas, Leawood, KS
Background/Purpose: Identification of disease and therapeutic biomarkers remains a barrier to the early diagnosis of and initiation of effective therapy for juvenile idiopathic arthritis (JIA).…
Abstract Number: 0383 • ACR Convergence 2022
Analysis of the Performance of an Artificial Intelligence Algorithm for the Detection of Radiographic Sacroiliitis in an Independent Cohort of axSpA Patients Including Both Nr-axSpA and r-axSpA
Fabian Proft¹, Janis Vahldiek², Joeri Nicolaes³, Rachel Tham⁴, Bengt Hoepken⁵, Baran Ufuktepe⁶, Denis Poddubnyy¹ and Keno Kyrill Bressem², ¹Department of Gastroenterology, Infectious Diseases and Rheumatology, Charité – Universitätsmedizin Berlin, Berlin, Germany, ²Charité – Universitätsmedizin Berlin, Berlin, Germany, ³UCB Pharma, Anderlecht, Belgium, ⁴UCB Pharma, Slough, UK, Overland Park, KS, ⁵UCB Pharma, Monheim am Rhein, Germany, ⁶UCB Pharma A.S., Istanbul, Turkey
Background/Purpose: Conventional radiography of the sacroiliac joints is the first imaging method if axial spondyloarthritis (axSpA) is suspected. The presence of definite radiographic sacroiliitis is…
Abstract Number: 1059 • ACR Convergence 2022
Vision Transformer Assisting Rheumatologists in Screening for Capillaroscopy Changes in Systemic Sclerosis: An Artificial Intelligence Solution
Alexandru Garaiman¹, Farhad Nooralahzadeh², Carina Mihai¹, Nikitas Gkikopoulos¹, Nicolas Perez Gonzalez², Mike Becker¹, Oliver Distler¹, Michael Krauthammer³ and Britta Maurer⁴, ¹Department of Rheumatology, University Hospital Zurich, University of Zurich, Zürich, Switzerland, ²Department of Biomedical Informatics, University of Zurich, Zürich, Switzerland, ³Department of Quantitative Biomedicine, University of Zurich, Zürich, Switzerland, ⁴Department of Rheumatology and Immunology, University Hospital Bern, University of Bern, Bern, Switzerland
Background/Purpose: An accurate assessment of nailfold capillaroscopy (NFC) images has great importance in the diagnosis and prognosis of systemic sclerosis (SSc). To overcome some of…
Abstract Number: 1404 • ACR Convergence 2022
Machine Learning Model to Accurately Identify Rheumatoid Arthritis Patients Using Raw Electronic Health Record Data
Vinit Gilvaz¹, Anthony Reginato², Deepan Dalal³ and Brad Crough⁴, ¹Brown University, East Providence, RI, ²Brown University, Providence, RI, ³Brown University School of Medicine, Providence, RI, ⁴Brown Physicians Inc., Providence, RI
Background/Purpose: Patients with chronic medical conditions like rheumatoid arthritis (RA) have a wealth of clinical data stored within their electronic medical records (EMR). Artificial intelligence…

« Previous Page
1
…
7
8
9
10
11
…
18
Next Page »

All abstracts accepted to ACR Convergence are under media embargo once the ACR has notified presenters of their abstract’s acceptance. They may be presented at other meetings or published as manuscripts after this time but should not be discussed in non-scholarly venues or outlets. The following embargo policies are strictly enforced by the ACR.

Accepted abstracts are made available to the public online in advance of the meeting and are published in a special online supplement of our scientific journal, Arthritis & Rheumatology. Information contained in those abstracts may not be released until the abstracts appear online. In an exception to the media embargo, academic institutions, private organizations, and companies with products whose value may be influenced by information contained in an abstract may issue a press release to coincide with the availability of an ACR abstract on the ACR website. However, the ACR continues to require that information that goes beyond that contained in the abstract (e.g., discussion of the abstract done as part of editorial news coverage) is under media embargo until 10:00 AM ET on November 14, 2024. Journalists with access to embargoed information cannot release articles or editorial news coverage before this time. Editorial news coverage is considered original articles/videos developed by employed journalists to report facts, commentary, and subject matter expert quotes in a narrative form using a variety of sources (e.g., research, announcements, press releases, events, etc.).

Violation of this policy may result in the abstract being withdrawn from the meeting and other measures deemed appropriate. Authors are responsible for notifying colleagues, institutions, communications firms, and all other stakeholders related to the development or promotion of the abstract about this policy. If you have questions about the ACR abstract embargo policy, please contact ACR abstracts staff at [email protected].