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PODCAST: Discovering diseases with artificial intelligence

podcast discovering diseases with artificial intelligence

Podcast - Discovering diseases with artificial intelligence

Welcome to this podcast episode of Binary Dreams – Cat!apult on Discovering diseases with artificial intelligence with our COO Dr. Corinne Solier. 

“Often, those who become seriously ill need luck in disguise: only if the diagnosis is made in time can the disease also be treated successfully. Many seriously ill people are denied this – the main reason for this is the complexity of many diseases.

The scientist and Scailyte COO Dr. Corinne Solier is working with her company on an AI-based technology that enables precise and rapid detection of diseases. In the Cat!apult podcast, she explains how it works and shows confidence in being able to clearly improve disease diagnostics by means of technology.”

Listen below on either platform:

About Scailyte

Scailyte is an ETH Zürich spin-off with a best-in-class artificial intelligence platform for the discovery of complex disease patterns from single-cell data. Our solution provides unprecedented insight into the disease and patients’ biology and enables the discovery of new clinically-relevant biomarker signatures by uncovering human’s hidden “single-cell” secrets. 

Scailyte’s proprietary best-in-class data analysis platform ScaiVision™ associates multimodal single-cell datasets (RNA-/TCR-/BCR-seq, proteomics, etc.) with clinical endpoints, such as disease diagnosis, progression, severity, treatment response, and toxicity response to identify ultra-sensitive biomarker signatures and cell functionality states. The performance and clinically-relevant applications of Scailyte’s platform ScaiVision have been demonstrated in well established CAR-T cell therapies and various clinical projects in Oncology and Immunology.

For more information, visit www.scailyte.com and connect on social media @LinkedIn and @Twitter.

ScailyteTM and ScaiVisionTM are registered trademarks proprietary to Scailyte AG.

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