Personalized radiation therapy for cancer is currently lacking behind personalized chemotherapy.
Dr. Wazir Muhammad has received a $701,000 grant to develop personalized cancer treatments using artificial intelligence and deep reinforcement learning.
The project aims to create dynamic digital twins of cancer patients to optimize treatment plans and improve patient outcomes.
The digital twin will use patient data to simulate diagnoses, treatment options, and monitor responses over time.
If successful, the project could help close health disparities gaps and improve outcomes for individuals battling cancer.
Florida Atlantic University researcher, Wazir Muhammad, Ph.D., has received a substantial grant to develop personalized radiation therapy for cancer patients. The project aims to create digital twins of cancer patients using artificial intelligence and deep reinforcement learning to improve treatment outcomes. By leveraging personal health data and genetic information, these digital twins will help physicians tailor treatment plans based on individual characteristics and monitor responses over time.
The innovative project will address challenges related to data quality, complexity, and integration into clinical workflows. By creating patient-specific digital twins, the research team hopes to optimize treatment plans, aid in diagnoses, and improve patient outcomes. If successful, this personalized approach to oncology treatment could help reduce health disparities and enhance treatment efficacy while minimizing side effects for those battling cancer. The pioneering research has the potential to revolutionize cancer treatment methods and improve the quality of life for individuals undergoing radiation therapy in the future.
