(Product Release) AI-Driven Solutions for Lab-Automation

• Artificial Intelligence (AI) and Machine Learning (ML) have been shown to accelerate research by 2-10 times.

• We are pioneering in leveraging the power of AI and ML in lab-automated synthetic biology, such as alternative proteins and biomaterials.*

• Identifying the optimal media is a classic challenge in biology. The optimal media composition can be influenced by more than 20 variables such as the amount of vitamins, growth factors and trace materials. This is a high-dimensional problem that is best solved using high-dimensional approaches.

• However, classic DoE methods are suboptimal at tackling high-dimensional problems and are ineffective at addressing problems with more than 5 variables.

• Compared to classic DOE, AI & ML methods excel in high-dimensional problem spaces, allowing us to evaluate many more complex combinations at the same time to efficiently discover the optimal combination.

*For example, Cosenza et al. (2023) show how AI helped discover "several media [...] with 23% more growth at only 62.5% of the cost of the control". Combined with lab automation, the AI-pipeline can accelerate the discovery of optimal media by 2 to 10 times.

About Matterhorn Studio:

Matterhorn Studio is pioneering the OptStore, the world's first marketplace for Artificial Intelligence Plug-ins for Lab Automation.

Visit us at SLAS on Booth 512 E to learn more about how you can integrate AI-driven optimisation in your lab today.