Researchers at University of California San Diego have received a $23.6 million award from ARPA-H to develop a groundbreaking approach for selecting cancer treatments. The project, titled ‘Dynamic Digital Tumors for Precision Oncology,’ aims to transform cancer care with AI-powered tools that predict therapy outcomes and tumor evolution. These Drug Recommender Engines (DREs) will enhance treatment matching and anticipate tumor responses, advancing precision oncology to new heights.
This innovative project holds the potential to significantly improve patient outcomes by personalizing cancer treatments based on accurate predictions. By harnessing the power of AI, researchers aim to create a more efficient and effective way to match patients with the most suitable treatments and forecast tumor responses. The development of DREs marks a major leap forward in precision oncology, offering a glimpse into a future where cancer care is tailored to individual patients with enhanced accuracy and success rates.
Read more about this — today.ucsd.edu
