UCLA Awarded $3 Million to Advance Artificial Intelligence in the Detection of Prostate Cancer
UCLA will use the $3 million to research and create artificial intelligence to improve prostate cancer diagnosis and cut down on unnecessary treatments.
A three-million-dollar grant from the National Cancer Institute will be distributed to the Jonsson Comprehensive Cancer Center at UCLA Health over the course of five years. In order to lessen the burden on healthcare systems and their patients, the funds will be used to accelerate the creation of cutting-edge AI-powered tools for the early diagnosis and prognosis of aggressive prostate cancer.
For men all across the globe, prostate cancer is still a major concern. It is common for men to be overdiagnosed and treated for prostate cancer when using the current screening and risk assessment methodologies. Even though as many as 60% of men with prostate cancer might benefit from active monitoring, the vast majority (around 90%) still end up undergoing treatment.
Radiologist, pathologist, and laboratory medicine specialist Professor Corey Arnold is leading a ground-breaking effort to change the way we think about prostate cancer. Arnold intends to include several data sources into a computational model with a diverse group of experts that includes Paul Boutros, Leonard Marks, Anthony Sisk, and Steven Raman. For a more accurate evaluation of a patient’s cancer state and prognosis, this model will include biomarkers, genetic data, digital histology pictures, and magnetic resonance imaging.
Providing healthcare practitioners with more precise insights into the nature of prostate cancer is the major objective of this big endeavor. By distinguishing between more severe and less severe types of the condition, doctors can develop personalized and focused treatment regimens. Patients’ quality of life will be less negatively affected by needless interventions as a result of this.
The head of the UCLA Computational Diagnostics group, Corey Arnold, is hopeful about the method’s prospects. To better differentiate between aggressive and less dangerous types of cancer, we anticipate that this method will be able to provide more precise information on the disease’s characteristics. More focused and tailored treatment regimens will be possible, which means fewer treatments that aren’t essential and less impact on patients’ quality of life, according to Arnold.
Along with other prostate cancer-related radiology grants at UCLA, this innovative study will add to the existing body of knowledge in the field. Holden Wu and Kyung Sung, both of the faculty, have played crucial roles in developing research in this area. Their work is in line with the larger objective of using cutting-edge technology and approaches to better understand and treat prostate cancer.
The study team’s goal is to provide healthcare practitioners with better tools for differentiating between more aggressive and less aggressive types of illness by using AI and combining diverse data sources. This will lessen the load of needless interventions on patients while also allowing for more tailored and efficient treatment programs. Thanks to this award, we’ve made great progress in our fight against prostate cancer, and we can look forward to providing better, more empathetic treatment to men in the future.
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