Researchers on the UCLA Health Jonsson Comprehensive Cancer Center have received a five-year, $3 million grant from the National Cancer Institute to discover novel cancer biomarkers and develop AI that may detect and predict aggressive prostate cancer to assist avoid unnecessary treatments and their associated negative negative effects.
Despite recent advancements, prostate cancer stays a standard and serious health issue for men, and current methods of screening and risk assessment can often result in overdiagnosis and overtreatment. About 90% of individuals diagnosed with prostate cancer receive treatment, regardless that as much as 60% of them might be candidates for energetic surveillance.
The project might be led by Corey Arnold, professor of radiology and pathology and laboratory medicine, and includes Paul Boutros, professor of human genetics and urology; Dr. Leonard Marks, professor of urology; Dr. Anthony Sisk, assistant professor of pathology and laboratory medicine; and Dr. Steven Raman, professor of radiology. The team will collaborate with investigators at Washington University in St. Louis to integrate magnetic resonance imaging, digital histology images, genetic information, and biomarkers in a computational model that may more precisely capture a patient’s current cancer state and forecast outcomes.
We expect this approach to have the ability to offer more accurate information in regards to the nature of the cancer, helping doctors to tell apart between aggressive and fewer threatening forms. It’ll also allow for more personalized and targeted treatment plans, reducing unnecessary interventions and their associated negative effects on patients’ quality of life.”
Corey Arnold, director of the UCLA Computational Diagnostics team
The project complements ongoing prostate cancer-focused grants in radiology led by faculty members Kyung Sung and Holden Wu.