S P E C I A L I S T I N S I G H T
Synthace aims to enable scientists to tackle humanity ' s most pressing challenges . Could you share some examples of how the platform has contributed to significant scientific advancements ?
We work with scientists across many different fields – drug discovery , agricultural sciences and food production to name a few and we ’ ve seen dramatic results across all of these . It never gets old to see the science that hugely innovative scientists have been able to do with our software !
Examples include being able to produce dramatically more cells for cultured meat production , establishing complex cellular assays for drug discovery and doing so way quicker than would otherwise have been possible .
We ’ ve been lucky to have scientists from AZ , GSK , Uncommonbio and Virica BioTech publish and present at conferences about the dramatic impact of the automated , powerful experiments that Synthace enabled for them .
How do you see the broader life sciences industry evolving over the next decade , particularly with the integration of new technologies like Artificial Intelligence , Machine Learning and automation ? What trends are you most excited about ?
AI is already having a great impact on the life sciences . In drug discovery we ’ re seeing a huge number of new therapeutic targets being identified , each one of which could become a new therapeutic programme , and ultimately yield a new treatment . But we ’ re also seeing the impact that this glut of new targets is having on other parts of the drug discovery process . In short – the lab is the new bottleneck .
So , what I ’ m really excited about is the prospect of powerful software and automation to alleviate this bottleneck : ever more , more powerful experiments that not only provide rapid answers to today ’ s problems but also generate the high-quality , high-dimensional datasets that will form the foundation for even more powerful MLgenerated insights for the future . �
50 www . intelligenthealth . tech