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A new and emerging type of analytical devices are producing rich data-sets by measuring hundreds of parameters from millions of individual cells. The resulting single-cell data holds the information needed for early disease detection but it requires sophisticated and innovative computational approaches in order to extract the relevant information. We are addressing this problem by developing artificial intelligence (AI) software for single-cell data analysis. The underlying algorithms allow us to associate patterns in single-cell data with disease status, similar to how state-of-the-art methods for object recognition associate pixel patterns with objects. By partnering with hospitals to obtain single-cell patient data, we are building an AI-based pipeline for novel biomarker discovery, which will yield ultra-sensitive biomarkers for early and precise detection of a wide range of complex diseases. Further, we will provide a software solution, wrapping our AI technology for R&D customers from academia, pharma and clinics. By virtue of novelty and impact, our products have the potential to disrupt the healthcare market.

More about Scailyte
  • News

    Using algorithms to track down cancer

    Modern medicine is looking for markers that provide early warning of complex diseases. In its quest to discover these “biomarkers”, the ETH spinoff Scailyte has developed software capable of analysing millions of single cells very efficiently. The search for biomarkers is currently one of t ... more

    Scailyte raises CHF 2.75M in seed funding

    Scailyte AG, a Swiss startup in the emerging and rapidly growing field of single-cell technologies, raised CHF 2.75M in seed funding and gained Swisscom Ventures as a strategic investor. Zürcher Kantonalbank also joined the financing round, alongside the existing shareholders, thus reaffirm ... more

    ETH spin-off machine running at full speed

    In 2018, ETH Zurich achieved a new record high for the number of spin-offs founded: a total of 27 founding teams took the plunge into independence. While an average of 13 ETH spin-offs were founded per year from 2000 to 2010, the following decade has seen an average of 24 per year. For Detl ... more

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