Michael Brenner, of Harvard Medical School, joins Scailyte as advisor

Scailyte is a spin-off of ETH Zurich and combines single-cell technologies, high-quality datasets and machine learning methods to identify disease-specific biomarkers, with a focus on oncology and immunology. 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, in order to identify ultra-sensitive biomarker signatures. Thanks to the single-cell resolution and AI-driven approach, ScaiVision is the most powerful and cutting-edge approach to develop methods for precise diagnosis and prediction of therapy response. Scailyte leverages a global network of clinicians to identify disease indications with high unmet needs and collaborates with global pharmaceutical and biotech companies to translate the novel biomarkers into ultra-sensitive companion diagnostics (CDx) and IVD assays. 

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