AI-Powered Genomics: Transforming Data into Insights

Artificial intelligence (AI) is revolutionizing the field of genomics, unlocking breakthroughs in both research and healthcare that were once unimaginable. By accelerating the analysis of large genomic datasets, AI uncovers critical patterns that illuminate gene networks, highlight risks for common diseases, and help pinpoint the causes of rare conditions. AI also plays a key role in advancing precision medicine by developing novel treatments, customizing therapies to individual genetic profiles, and predicting patient responses to therapies, all of which enhance diagnostic accuracy and treatment outcomes. However, the growing integration of AI in genomics raises important ethical considerations, including concerns about data privacy, informed consent, and the potential for biased algorithms to perpetuate existing inequalities. As AI continues to shape genomics, it is essential to balance innovation with ethical responsibility to ensure equitable access and outcomes for all patients. This session aims to stimulate thoughtful discussion on the transformative potential of AI in genomics while addressing its challenges and ethical implications. Attendees will leave with actionable insights on how to navigate the evolving landscape of AI in genomics research and healthcare and how they can contribute to shaping its future in a responsible and inclusive way.

Learning Objectives

*    Examine modern artificial intelligence compute architectures and how they are being leveraged to impact the practice of medicine
*    Identify the societal, ethical and economic challenges of the tools available for genomic health prediction, and how policymakers can address them
*    Examine the capabilities and limitations of AI in genomic medicine