March is Endometriosis Awareness Month, and Scailyte is proud to support this cause with the “Endometriosis interview series”
March is Endometriosis Awareness Month, and Scailyte is proud to support this cause with the “Endometriosis interview series”
We mark Endometriosis Awareness Month, and Scailyte is proud to support this cause with “The Endometriosis interview series”. We aim to highlight important aspects of Endometriosis directly from the top exponents!
As a precision medicine company, Scailyte is dedicated to discovering clinically relevant biomarkers for diagnostics, prognostics, and treatment, starting from single-cell data sets in clinical data sets.
ScaiVision, our proprietary machine learning algorithm platform, has been used for various biomarker discovery projects in collaboration with clinical, academic, and biotech partners, in different fields, including endometriosis.
We believe that precision medicine has the potential to transform the way endometriosis is diagnosed and treated, and we’re committed to driving progress in this field. Join us in celebrating Endometriosis Awareness Month and stay tuned for our upcoming interviews with leaders in the field.
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.
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