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          Core activities                    Using this approach, Scailyte       relevant single-cell data from
                                             can identify molecular profiles     the open domain for their
          Founded in 2017, Swiss
                                             (biomarkers) from specific          analysis.
          company Scailyte uses
                                             cell types associated with a
          single-cell data and artificial
                                             disease. These biomarkers           Open data resources, including
          intelligence (AI) to identify
                                             are of value for developing         annotations, genomes and
          novel disease biomarkers.
                                             early diagnostic tools and may      transcriptomes, play an
          Unlike methods that capture
                                             represent potential therapeutic     important role in providing a
          average measurements of bulk
                                             targets.                            baseline for single-cell data
          populations of cells, single-
                                                                                 processing. During this data
          cell technologies generate
                                             The company has raised about        processing stage, Scailyte uses
          data at the level of individual
                                             €5.5M. The venture relies on        several community-developed
          cells, offering unparalleled
                                             highly specialised knowledge        tools.
          insight into biological diversity
                                             to make effective use of data.
          between cells. Single-cell data
                                             Of 17 team members, 65%
          contains biomedically relevant                                         Position along the value
                                             hold a PhD in the life sciences,
          information not captured by                                            chain
                                             and a third have a computer
          other technologies but requires
                                             science or bioinformatics           Scailyte operates across the
          innovative computational
                                             background.                         entire length of the value chain
          approaches to extract this
                                                                                 – performing data selection,
          information.
                                                                                 pre-processing and analysis,
                                             How do they use open
          At Scailyte, single-cell data is   data?                               and data interpretation to
          fed into their proprietary AI                                          identify profitable novel
                                             While collecting proprietary        insights. For Scailyte, custom
          developed pipeline (ScaiVision)
                                             data themselves and with            data inputs are dependent on
          to associate patterns in single-
                                             research groups, Scailyte takes     the customer.
          cell data with disease status.
       Value chain for   data analysis  Selection  Integration and   Transformation  Mining     Interpretation
                                      processing








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