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About Owkin: The French-American startup specialises in AI and Federated Learning for medical research. Its multidisciplinary team of 100 people has expertise in the analysis of clinical data and experience leveraging advanced machine learning technologies on multimodal cohorts. Co-founded in 2016 by Dr Thomas Clozel M.D., a clinical research doctor and former assistant professor in clinical hematology, and Dr Gilles Wainrib, Ph.D., a pioneer in the field of artificial intelligence in biology, Owkin has recently published ground breaking research at the frontier of AI and medicine in Nature Medicine and Hepatology.
The Owkin platform connects several of the largest medical research centres and pharmaceutical companies in Europe and the US within a federated research ecosystem. These unique collaborations with medical research experts and key opinion leaders are foundational to the development of crucial insights. Through unlocking medical insights from siloed datasets, Owkin helps life science companies discover new drugs, identify novel biomarkers, optimise clinical trials and accelerate patient diagnosis.
- (10:00am EST) Welcome — Jing Liu, Managing Director, MIDAS; Owkin & Scientific Overview of the Sessions — Patrick Sin-Chan, Partnerships Manager – Owkin
- Session 1: Methodology and Data Science
- (10:05am EST) Learning From Others Without Sacrificing Privacy: Application of Federated Machine Learning to Mobile Health Data
- (10:18am EST) Privacy Preserving Federated Learning Platform: from Design to Deployment in Real World Use Cases
- Camillie Marini, Chief Technology Officer, Owkin
- (10:31am EST) Accelerating Machine Learning with Multi-Armed Bandit
- (10:45am EST) Siloed Federated Learning for Multi-Centric Histopathology Datasets
- Mathieu Andreux, Senior Data Scientist – Federated Learning Research, Owkin
- (10:58am EST) 20 mins Panel Discussion with the speakers, and Karandeep Singh, Assistant Professor, Learning Health Science, U-M. Moderator: Kayvan Najarian, Professor, Computational Medicine and Bioinformatics, U-M.
- Session 2: Biotech/medical
- (11:20am EST) Covid-19 Severity Analysis with CT Scans and Machine Learning
- Simon Jégou, Senior Data Scientist – Radiology Group Leader, Owkin
- (11:33am EST) Linking Single-cell Molecular States with Phenotypes Using Machine Learning
- (11:46am EST) HE2RNA: a Deep Learning Model to Predict RNA-Seq Expression of Tumors from Whole Slide Images
- Alberto Romagnoni, Senior Translational Scientist, Owkin
- (11:59am EST)Using Large-scale Pharmacogenomic Databases to Predict Drug Effectiveness
- (12:12pm) 20 mins Panel discussion with the speakers. Moderator: Patrick Sin-Chan, Owkin.
- (11:20am EST) Covid-19 Severity Analysis with CT Scans and Machine Learning
- (12:32pm) End of Session
