Abstract IA030: Harnessing patient biopsies and AI for rapid, personalized cancer therapy discovery

Abstract Timely and precise identification of effective treatments is crucial for improving patient outcomes and reducing healthcare costs, particularly in cancer care. This challenge is amplified in rare, recurrent, and hard-to-treat cancers due to their genetic complexity and tumor heterogeneity. Dr. Gujral will discuss his lab’s innovative approach to revolutionize cancer treatment through the development of a clinically integrated, data-driven platform for predicting drug responses. By analyzing patient biopsy samples collected within hours of surgery and applying advanced artificial intelligence algorithms, this platform rapidly screens thousands of potential therapies, delivering actionable insights in under a week. The goal is to bring this system into everyday medical care, making cancer treatment faster, more effective, and more affordable for everyone. Citation Format: Taran Gujral. Harnessing patient biopsies and AI for rapid, personalized cancer therapy discovery [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Functional and Genomic Precision Medicine in Cancer: Different Perspectives, Common Goals; 2025 Mar 11-13; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(5 Suppl):Abstract nr IA030.