Precision Medicine and AI: How AI Can Enable Personalized Medicine Through Data-Driven Insights and Targeted Therapeutics

Abstract

Whereas traditional medicine has taken a one-size-fits-all approach, precision medicine represents a paradigm shift towards individualized care by integrating information on a patient’s genes, environment, and lifestyle for management purposes. The realization of this vision can become a reality and a key player in this process is represented by Artificial Intelligence (AI), which can turn medical data into meaningful actions. AI technologies are disrupting many aspects of personalized medicine, including predictive analytics, patient or population surveillance, and targeted therapeutics, and this article explores some of these changes.

Specifically, our research examines the synergy of AI and business analytics in the field of medicine and how data-driven decision support technologies are empowering physicians and healthcare institutions to help precision medicine. Using oncology, pharmacogenomics and chronic disease management as examples, we show the ability of ML and DL models to discover patterns in the data, predict disease progression, and personalize treatment decisions.

More than the technology itself we emphasize the human aspect of deployment – ethics, transparency, deployment ethics, ethics of transparency, human judgment and the importance of multidisciplinary teams to ensure that AI is an augmentation and not a replacement of human judgment. The discussion provides direction for business analysts and healthcare administrators as they attempt to understand the landscape of increasingly complex and changing AI-enabled medicine.

In illuminating the promise as well as the pitfalls of artificial intelligence in precision medicine, this study seeks to inspire a more thoughtful, human-centered form of innovation within medicine.