Breast cancer is the most common cancer in women worldwide, with nearly 1.7 million new cases diagnosed each year. Though some breast cancers are now treated efficiently, many patients still face poor prognoses and potential relapse. Recently, an array of peer-reviewed studies has shown how clinical diagnostics for cancer are significantly improved when artificial intelligence (AI) is incorporated into disease predictions and treatment strategies. Breast Cancer Awareness Month presents an opportunity to emphasize how novel technologies like AI and federated learning can assist researchers and clinicians and help them face these challenges.
In this Clinical OMICs webinar, a distinguished panel of breast cancer experts and machine learning researchers, including world-renowned expert Dr. Fabrice André, will explore how clinicians and data scientists can collaborate to accelerate research through the application of novel computational and federated learning techniques.
A live Q&A session will follow the presentations, offering you a chance to pose questions to our expert panelists.