ACR Journals On Air

Welcome to "ACR Journals on Air," the ACR's newest podcast series featuring interviews, commentary, and analysis on research from our three peer-reviewed journals. Join us each episode for engaging discussions with authors and independent experts about recently published studies, their implications for clinical care, and how they move the field of rheumatology forward. Whether it's an expert analysis of a manuscript or deep dive with an author – our goal is the same – to understand the impact of the science and bring it from the bench to the bedside

ACR Journals On Air is a health podcast hosted by American College of Rheumatology, with 101 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

American College of Rheumatology hosts ACR Journals On Air, a health show with 101 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Episode #96

  Significance of a Positive ANA in Patients Without Autoimmune Diseases

  Aug 18, 202630 minS4

  Dr. Vivian Kawai and Matthew Chung discuss their research on the clinical significance of high-titer antinuclear antibodies (ANA) using electronic medical record data and PheWAS analysis. They explore the study's design, key findings, clinical implications, and limitations, while also discussing how an undergraduate research experience evolved into a successful mentorship and publication. Clinical Conditions Associated With a High Antinuclear Antibody Titer in Individuals Without Autoimmune Disease

  ListenShow Notes
• 

  ACR Journals On Air

  RA Inference in EHR

  Aug 4, 202646 min

  In this episode, we explore how artificial intelligence and machine learning are advancing the use of electronic health record data in rheumatology. Dr. Kat discusses the development and validation of a natural language processing–based model to infer rheumatoid arthritis disease activity from structured and unstructured clinical data, its application in studying cardiovascular outcomes, and the challenges of deploying predictive models across different health systems. The conversation also examines the future of real-world evidence generation, the practical limitations of AI in clinical research, and Dr. Kat's career journey, offering insights and advice for the next generation of physician-scientists.

  ListenShow Notes
• 

  Episode #94

  Distilling Still Disease: Interstitial Lung Disease and Still

  Jul 21, 202633 minS4

  In this episode, Michael J. Ombrello, MD, explores how our understanding of Still's disease has evolved, from recognizing interstitial lung disease as a key manifestation to uncovering the immunologic and genetic factors that may shape disease severity. He discusses insights from a National Institutes of Health natural history study, including interferon signatures, HLA associations, drug-associated immunologic reactions, and exome sequencing, and explains what these findings could mean for future diagnosis, risk stratification, and treatment. The conversation also turns to Dr. Ombrello's own career path, the personal experiences that inspire his research, and the mentors who helped shape his journey as a physician-scientist. Type I Interferon Signature is Associated With Lung Disease, Drug-Associated Immune Reactions, and Genetic Variation in Interferon-Linked Pathways in Still Disease

  ListenShow Notes
• 

  Episode #93

  GLP-1 receptor agonists in the RISE registry

  Jul 7, 202637 minS4

  In this episode, Nicholas P. McCormic discusses new real-world research from the RISE registry examining the use of GLP-1 receptor agonists in patients with rheumatic and musculoskeletal diseases. He explains the motivation behind the study, its design, and key findings on medication use, weight loss, and differences between semaglutide and tirzepatide, while highlighting important considerations for clinicians and patients. Nick also shares insights into the strengths and limitations of using registry data before reflecting on his journey from psychology and sociology to earning a Ph.D. focused on chronic disease management and rheumatology, offering advice for aspiring researchers and a look at his future work.

  ListenShow Notes
• 

  Episode #92

  VAT: A Visualization and Analysis Tool for Scleroderma

  Jun 23, 202629 minS4

  In this episode, we talk with Dr. Ji Soo Kim about a new tool designed to help people with scleroderma better understand and manage their disease. Using information collected over many years from patients receiving routine care, Dr. Kim developed an interactive platform that turns complex medical data into easy-to-understand charts and predictions. We discuss how the tool can help patients and doctors track disease progression, compare experiences with similar patients, and make more informed treatment decisions together. Dr. Kim also shares insights into the challenges of working with real-world health data, the future of personalized medicine in rheumatology, and the career path that led to this innovative work. Development of a Personalized Visualization and Analysis Tool to Improve Clinical Care in Complex Multisystem Diseases With Application to Scleroderma

  ListenShow Notes

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.