PACMIDS: Patient-Centered, AI-Enabled, Molecular-Informed Data Fabric for Clinical Treatment Decision Support

• DOI: 10.1089/aipo.2024.0006
• Publication Date: 2024-04-18T17:53:17Z
• Authors: Jeanne Kowalski; Qi Xu; Maya Ylagan; Marisabel Hurtado...; Tamarah Aldawoodi; Devi Meyyappan; Boone Goodgame; Daruka Mahadevan; Anna Capasso
• Keywords: Clinical Decision Making

Introduction: The demand for comprehensive data resources has surged due to advancements in research aimed at tackling complex questions. Data integration techniques have evolved significantly, moving from the of various omics types a single patient multimodal leveraging machine and transfer learning. This evolution given rise concept digital twins facilitate silico prediction treatment response. Furthermore, emergence fusion fabric concepts highlights growing need broader connectivity, advanced analysis workflows, supportive architectures. We introduce an AI-enabled, molecular that incorporates these innovative define information exchange molecular-informed clinical decision support.