Individualized Medicine in the Era of Artificial Intelligence.

Abstract

The goal of individualized medicine is to provide a precise approach for the prevention, diagnosis, and treatment of disease, utilizing information about an individual's genomic, environmental, and lifestyle patterns. The rapid advancements in artificial intelligence (AI) have led to the application of sophisticated approaches including machine learning, generative AI, and large language models that could lead to discoveries and practice implementations aimed at improving clinical decision making and health care delivery through diverse applications. Nevertheless, the exact role of AI in supporting individualized medicine continues to evolve. In this position paper, we present our principles of applying AI to bolster the vision of the Mayo Clinic Center for Individualized Medicine. Leveraging the Center for Individualized Medicine's strategy on innovation and transformation as well as existing state-of-the-art operational architecture and capacity in handling large corpora of data (ie, multiomics, digital, multimodal data), we envision an AI-powered integration of such information toward an enterprise-wide adoption to serve the needs of individualized clinical practice of the future.