Presentation Details
Speaker
Sungwon Lim, PhD, CEO & Co-Founder of ImpriMed, Inc.
Session Title
When AI Disappoints: Improving Outcomes with Real-World Clinical Data
Synopsis
Predicting the response and prognosis of cancer treatments for individual patients allows doctors to design therapeutic regimens tailored to each case. However, no prediction method is flawless. Even the most advanced clinical outcome predictions using artificial intelligence (AI) and primary cancer cell analytics, which have demonstrated clinical utility in multiple publications, can sometimes diverge from actual outcomes.
In this presentation, Dr. Sungwon Lim, CEO and Co-Founder of ImpriMed, will offer an inside look at how AI-driven treatment predictions are developed, highlighting both their successes and areas for improvement. The presentation will start with a brief overview of ImpriMed and its predictive modeling framework. Dr. Lim will then present real-world case studies based on ex vivo drug sensitivity data and combinatorial drug response predictions. These examples will illustrate how insights from AI-driven analyses of live cell-based drug sensitivity can support more personalized and informed treatment decisions.
The session will conclude with a call to action for clinician collaboration: by sharing follow-up patient outcome data, veterinarians can contribute to enhancing predictive accuracy for future patients.
