Enhancing Pharmacotherapy Through Artificial Intelligence: From Prediction Models to Practice – Ep 179
About this episode
The episode discusses the use of artificial intelligence in pharmacotherapy, focusing on its applications, challenges, and future opportunities.
In this episode of the Pharmacotherapy Podcast , host Dr. Lindsay DeVane speaks with Dr. William Baker and Dr. Alexandre Chan, guest editors of a themed issue on artificial intelligence (AI) in pharmacotherapy. The discussion explores how AI—particularly machine learning and large language models—isbeing used to predict drug response, improve safety, and streamline research and clinical workflows across diverse therapeutic areas. The guests address common concerns about trust, transparency, and clinician autonomy, emphasizingAI’s role as a supportive “copilot” rather than a replacement for clinical judgment. They also highlight current gaps and future opportunities, including pharmacogenomics, imaging data, and patient-reported outcomes, and offer practical advice for trainees and researchers seeking to build AI literacy through a combination of conceptual understanding, short courses, andcollaborative learning. Read the themed issue at: https://accpjournals.onlinelibrary.wiley.com/doi/toc/10.1002/(ISSN)1875-9114.Enhancing-Pharmacotherapy-Through-AI
More episodes of ACCP JOURNALS
- Navigating Cardiotoxicity in Modern Cancer Therapy - Ep 181
- High-Value Interventions Primary Care Practices Might Be Overlooking: Clinical Pharmacy Services – Ep 180
- A Medical Writing Rotation: Flipping the Odds on Resident Scholarship - Ep 178
- Thinking Like Tree Farmers Not Muffin Makers: Why We Need a Competency-based Framework at all Levels of Professional Education - Ep 177
- An Aging HIV+ Population: The Urgent Need (and Opportunities) for HIV-trained Pharmacists - Ep 176
- Terlipressin Administration Strategies in Hepatorenal Syndrome–Acute Kidney Injury - Ep 175
Explore listener stats, chart rankings, contacts and more on the ACCP JOURNALS podcast page.