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UC San Diego Awarded ARPA-H Grant to Advance “Digital Tumors” in Precision Oncology
- UC San Diego has received a $23.6 million ARPA-H grant to develop AI-driven digital twin technologies for precision oncology, aiming to personalize cancer therapies in real time.
- The project, titled 'Dynamic Digital Tumors for Precision Oncology,' focuses on creating digital models ('digital tumors') to simulate individual cancer biology, guiding more effective treatment decisions.
- By utilizing Drug Recommender Engines (DREs) that analyze biological data continuously, the initiative aims to predict tumor adaptation mechanisms and suggest tailored therapeutic regimens.
- Professor Trey Ideker leads the multidisciplinary research at UC San Diego to revolutionize cancer diagnostics and therapeutics through AI-powered predictive tools for clinicians.
- The collaboration involves leading institutions and biotech innovators to validate and deploy digital tumor platforms, integrating genomics, machine learning, and clinical oncology research.
- The broader ARPA-H ADAPT program supports personalized and adaptive cancer care, emphasizing dynamic, patient-specific interventions over conventional static therapeutic approaches.
- The integration of digital tumor models into clinical workflows is expected to reduce therapeutic misalignments and enhance cure rates for advanced cancers, aligning with precision medicine goals.
- These adaptive systems learn from expanding cancer case data streams to improve predictive accuracy over time, crucial in addressing emerging resistance mutations and biological dynamics.
- UC San Diego's initiative holds promise in expediting drug development, informing combination therapies, and personalizing precision clinical trials based on dynamic tumor model insights.
- Overall, the project signifies a significant advancement in utilizing AI-driven technology for personalized cancer therapy, offering biologically informed treatment recommendations to improve patient outcomes.
- Through the development of adaptive digital tumor frameworks, UC San Diego aims to enhance survival rates and quality of life for patients grappling with advanced malignancies.
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