Diagnostics from digital pathology

An AI solution to accelerate precision medicine

In this webinar, we spotlight the RACE AI project where we leverage machine learning with digital pathology to identify patients at high risk of relapse with early breast cancer. We share how novel diagnostic solutions pose not only innovative uses for histopathological data and alleviate caseload burden for pathologists, but also expand opportunities for life sciences companies to improve clinical trials and ensure more patients are benefiting from innovative and best-matched therapies.


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The panelists

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triki
Meriem Sefta edited 2

Fabrice André

Head of research

Gustave Roussy

Magali Lacroix-Triki

Vice President

IAP France

Meriem Sefta

Chief Diagnostic Officer

Owkin