Completing the Holy Trinity in the digitisation of biology
Synthetic biology has incredible potential to benefit society, but the scale up phase is severely constrained. To unlock this disruptive value, synbio needs a Holy Trinity of digital software, wetware and hardware.
Software is inherently digital and the development cycles are rapid and well understood. Similarly, the core biological technologies are in place, including data generation from gene sequencing, gene editing although there is room for greater optimisation.
BiologIC are pioneers in digital hardware – completing the triumvirate of skills necessary to apply and scale synbio. 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. Increasingly, Artificial Intelligence (AI) and Machine Learning (ML) will be applied to the life sciences tool chain, influencing all aspects from experimental design through to experimental data capture, analysis and even computational biology.
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 synthetic biology.
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