Fabrice André, MD, PhD
Dean of Research
Gustave Roussy
Magali Lacroix-Triki, MD
Pathologist
Gustave Roussy
Pierre Etienne Heudel, MD
Oncologist
Léon-Bérard Cancer Center
Guillaume Bataillon, MD
Pathologist
Institut Curie
Thomas Clozel, MD
Co-founder and CEO
Owkin
Gilles Wainrib, PhD
Co-founder and CSO
Owkin
Originally Aired: October 13, 2020
Time: 8:00 am PT, 11:00 am ET, 17:00 CET
In 2010, a team of geneticists and bioinformaticians at Medical College Wisconsin embarked on an ambitious clinical genome sequencing project to end the diagnostic odyssey of a young boy, Nicholas Volker. That project, led by Howard 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.
A live Q&A session followed the presentations, offering you a chance to pose questions to our expert panelists.
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.
Produced with support from:
