Biology has incredible potential to benefit society, but the scale up phase is severely constrained. To unlock this disruptive value, we need to complete the Holy Trinity of digital software, wetware and hardware.
Software is inherently digital, and the development cycles are agile, rapid and well understood.
Similarly, the core biological wetware is in place, including data generation from gene sequencing, and BiologIC is optimising this through digitisation of the biological workflows.
BiologIC is also pioneering digital hardware – completing the triumvirate of skills necessary to apply and scale biology. The digitisation of hardware allows for the first time an ultra-rapid Design-Build-Test-Learn cycle for the development and launch of powerful instruments in existing and new applications.
By completing this digital toolchain, inspired by decades of innovation in semiconductors, we enable the emergence of an exciting, dynamic new model underpinned by extensive use of data science.
The use of digital tools and large data sets has enabled a transition toward more complex science which, in turn, has enabled focus on areas of unmet need in biology. Increasingly, Artificial Intelligence (AI) and Machine Learning (ML) will be applied to the life sciences tool chain, requiring a material increase in biological throughput. BiologIC’s architectures are transforming the throughput paradigm from enlarged experimental design through to experimental data capture, analysis and closing the loop back to optimised ML algorithms.
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