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.

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 followed the presentations, offering you a chance to pose questions to our expert panelists.

 

Produced with support from: