Stemnovate in vitro testing platform simulates the liver response to evaluate predictable and unpredictable hepatotoxins over the breadth of the genetically diverse human population. The processes are highly data-driven with high-resolution images, genomic profiles, biological information, molecular and metabolite profiles. The machine learning can correlate, assimilate and connect the data more rapidly to help discover patterns. Our approach for deep learning will allow data exploration to identify key features and design of the cognitive network that can automate the prediction of toxicity and will be a game-changing technology for precision drug discovery.
- Stemnovate is capable of designing and manufacturing a bespoke fluidic component to enhance repeatability of complex cell culture
- As a company, we are able to quickly design, validate and manufacture prototypes and complex designs
- Once a methodology is optimised the process can be set for reproducibility and automation
- We support projects to achieve a higher standard of accuracy, evaluating biocompatibility and tolerance.
Induced Pluripotent stem cell lines
Human & Multispecies Primary cells
Cell culture & analysis package
Single Nucleotide Polymorphism
Microfluidic design, prototyping and manufacturing
Biosensing and AutomationLogin
Our clients say
You are doing some amazing and important work at Stemnovate, we are happy to be associated with your project.
Thank you for your presentations, they were really great and stimulating. I am very happy we met and that we could get the cells in culture!
CASE STUDIES & Partnership
Prof Ciro Semprebon will be working in partnership with Stemnovate on the prestigious EPSRC grant project for advancing SLIPS technology.
Stemnovate and partner ANB sensors are working together as part of Liver-on-a-chip project to develop biosensors that have potential to provide microenvironment information of the cell culture systems, especially the pH measurements. The advantage is for improving the reproducibility of the cell systems and defining optimum culture conditions. ANB Sensors are also based in Cambridge […]