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Closed-loop Interpretable AI for Biological Systems

Using interpretable Artificial Intelligence (AI) to direct the design and implementation of new biological systems is a radical approach that will transform our ability to predictably engineer biological systems.

The value of engineering approaches to biology is amply demonstrated: understanding virus interactions and engineering vaccines; engineering CAR-T cells equipped with sensing and logic devices to precisely tune their immunotherapeutic response; sustainable bio-based production of chemicals to minimise environmental impact.

To tackle the complexity of biological systems design and achieve even more ambitious results, more reliably and in less time, we need a radical new approach, so that bio-based manufacturing and engineered cell therapies are the norm instead of the exception.

Led by Professor Geoff Baldwin and Professor Guy-Bart Stan.

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