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

People in this episode

Guests: Dr Alexandre Chan, Dr William Baker

Topics covered

• artificial intelligence
• pharmacotherapy
• machine learning
• drug response
• clinical workflows

Keywords

• AI
• pharmacogenomics
• imaging data
• patient-reported outcomes
• clinical judgment

Mentioned in this episode

Books & works: Enhancing Pharmacotherapy Through Artificial Intelligence: From Prediction Models

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