Achieving inclusive healthcare through integrating education and research with AI and personalized curricula.

ABSTRACT:

Background

Precision medicine promises significant health benefits but faces challenges such as complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of computational experts, engineers, designers, and healthcare professionals to develop user-friendly systems and shared terminologies. The widespread adoption of large language models (LLMs) such as Generative Pretrained Transformer (GPT) and Claude highlights the importance of making complex data accessible to non-specialists.

Methods

We evaluated the Stanford Data Ocean (SDO) precision medicine training program's learning outcomes, AI Tutor performance, and learner satisfaction by assess

SUBMITTER: Bahmani A 

PROVIDER: S-EPMC12357942 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature