Selecting Targeted Cancer Therapies and Clinical Trials with Computational Reasoning

Explore how computational reasoning revolutionizes precision oncology through this 48-minute keynote presentation by Dr. Istvan Petak, an international expert with over 25 years of experience in molecular pharmacology and targeted cancer therapies. Discover how artificial intelligence addresses the combinatorial explosion in cancer genomics, where each tumor carries unique combinations of actionable driver alterations from millions of possible molecular profiles across hundreds of cancer genes. Learn how computational reasoning systems integrate multidimensional molecular data with clinical and real-world evidence to identify rational therapy options and clinical trial matches in real time, providing explainable logic and reproducible results. Examine the dimensionality problem facing modern oncology, where traditional evidence-generation models built on randomized trials cannot keep pace with the complexity of personalized cancer treatment. Through illustrative case examples, understand how this next-generation deterministic form of artificial intelligence transforms the precision oncology workflow from variant interpretation to treatment recommendation, enabling scalable, evidence-based personalization that augments both laboratory and clinical decision-making. Gain insights into the concept of precision oncology, the challenges of molecular complexity in cancer treatment selection, and the various applications of AI in precision oncology. This presentation demonstrates practical solutions for one of modern oncology's greatest challenges: selecting the right targeted therapy or clinical trial for each individual cancer patient based on their unique molecular profile.