DIA 2025 Global Annual Meeting

Component Type: Session
Level: Intermediate

Precision medicine integrates advanced technology and healthcare to tailor treatments to individuals, aiming to enhance outcomes. However, the rise of artificial intelligence (AI) and advanced technologies in this field introduces new ethical complexities. Privacy, informed consent, and social justice remain central concerns, but evolving technologies brings additional challenges, such as biases in algorithmic predictions and the transparency of decision-making processes. AI-driven models used to predict treatment outcomes or develop personalized care plans can reflect societal biases if trained on unrepresentative or flawed data. This raises concerns about fairness, as patients could be unjustly stratified based on genetic, racial, or socioeconomic factors. Precision medicine, which stratifies patients by genetic profiles, risks perpetuating discrimination or exacerbating health disparities.

Learning Objectives

Understanding of bioethical impact within the next generation of medcine; Ackowledge the importance of the inclusion of diverse, representative populations and handling of incidental findings—unanticipated results that arise during genetic screening—must be ethically integrated into research protocol.

Chair

James Wabby, MHS

Speaker

Ethics in the Era of Precision Medicine and Advancing Technologies
James Wabby, MHS

Ethics in the Era of Precision Medicine and Advancing Technologies
Amanda Burkhardt, PhD