Computational Reasoning for the N-of-1 Use of Molecularly Targeted Cancer Therapies

Explore a groundbreaking webinar on precision oncology that addresses the challenge of personalizing cancer treatment through computational reasoning. Learn from Dr. Istvan Petak, an international expert with over 25 years of experience in molecular pharmacology and precision oncology, as he presents his novel AI-based computational method for selecting individualized cancer therapies. Discover how this innovative approach moves beyond traditional single biomarker-to-therapy matching by analyzing the complete molecular profile of each patient's cancer to provide N-of-1 treatment recommendations. Understand the limitations of current precision oncology approaches, where matching one genetic alteration to one targeted therapy fails for most patients despite the ability to identify driver alterations in 95% of cancer cases through whole genome sequencing. Examine how each cancer typically harbors an average of four to five genetic driver alterations from hundreds of possible cancer driver genes, creating complex molecular signatures that require sophisticated computational analysis. Gain insights into the evolution from the Human Genome Project to current Pan-Cancer Analysis of Whole Genomes studies and their implications for personalized cancer treatment. Learn about the development and validation of this computational reasoning method that considers the totality of molecular information rather than evaluating genetic alterations individually, representing a significant advancement in precision oncology that has received recognition from DIGITALEUROPE and ASCO.