Core Viewpoint - Tevogen Bio Holdings Inc. is expanding its AI-driven platform, Tevogen.AI, to enhance patient data integration for clinical trial participant identification, aiming to accelerate the development of personalized T cell therapies [1][2][3] Group 1: Tevogen.AI and PredicTcell™ - Tevogen.AI, supported by Microsoft and Databricks, will analyze electronic health records and real-world patient data to identify potential clinical trial participants [2] - The integration of patient data with the PredicTcell™ model is expected to enhance the ExacTcell™ pipeline development [2][3] Group 2: Clinical Trial Efficiency - Tevogen.AI aims to improve clinical trial efficiency, scalability, and inclusivity by rapidly identifying and enrolling suitable patients [3] - The initiative is designed to address critical bottlenecks in clinical development, potentially accelerating time-to-market for new therapeutic interventions [3][6] Group 3: Strategic Goals - The company’s mission focuses on achieving commercially attractive, economically viable, and cost-effective personalized T cell therapies [3] - By enhancing patient outcomes and expediting therapeutic approvals, Tevogen.AI seeks to provide a foundation for commercial success and investment growth [3]