Top 5 Most Listened-to Podcasts of 2023

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Throughout 2023, guests of the Applied Clinical Trials podcast spoke on a number of topics including clinical research in rare disease areas, data, and artificial intelligence.

Image Credit: © Alex from the Rock - stock.adobe.com

Image Credit: © Alex from the Rock - stock.adobe.com

Below is a list of the most listened-to episodes of the Applied Clinical Trials Podcast in 2023.

1. IndoUSrare: Purposeful Clinical Research For Rare Diseases In India

Dr. Harsha Rajasimha, Founder and Chairman of IndoUSrare, discusses the emotional reason behind founding the non-profit, programs they offer that are helping rare disease parents/patients, rare disease research in India, and much more.

Listen to the episode here.

2. Data In Clinical Trials—How Did We Get Here And What’s Next?

Gabriele Brambilla, CEO of Alira Health, discusses how data sharing in clinical research should be implemented to value the person. He also highlights his career path and how he became so interested in healthcare innovation.

Listen to the episode here.

3. The Evolution of Early-phase Research

Colleen Hoke, Co-Founder and CEO of ObjectiveHealth discusses her career in early-phase research and the transition from working with a startup to a major research organization. She also touches on what her current company, ObjectiveHealth is working on, leadership skills, and the evolution of clinical research.

Listen to the episode here.

4. Building Clinical Trials with Trust

Charlotte Grayson, MD, clinical research medical director, Privia Health highlights her journey to becoming a physician and eventually getting involved with clinical trials. She also discusses what integrated research organizations (IROs) are now bringing to the table and how they are effective in enrollment and building patient-physician relationships.

Listen to the episode here.

5. Leveraging The Power Of AI

Najat Khan, PhD, chief data science officer and global head, strategy, portfolio & operations, R&D, The Janssen Pharmaceutical Companies of Johnson & Johnson shares her career path and how she became interested in clinical data. She also discusses some current trends in artificial intelligence/machine learning such as utilizing them in drug discovery and making clinical trials more inclusive.

Listen to the episode here.

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