xT_Bioreactors

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  Product logo

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  Scatter plots with sample points

Inspiration

In 18 month from now when the first vaccines for COVID-19 are found and tested, there is still a huge task in front of us. Roughly 2 billion portions of this vaccine have to be produced. To assure maximum impact, this has to be done as fast and as economical as possible. We have a solution for this.

What it does

xT_Bioreactors is a small data AI based software that helps to develop and optimize machine parameters and mixture recipes. The software is based upon our existing solution xT smart_DoE that is already tested and used in the specialty chemicals and biotech industry. The software functions similar to classical design of experiment software, that is already used in the field of vaccine production. However, our solution doesn't require statistical knowledge, as standard DoE software is doing. The number crunching is done by a unique small data AI algorithm, that was developed by our CTO Pavels Cacivkins.

How we built it

Our solution is a web service based solution. The front-end, that was the main focus for this hackathon was developed using Java script.

Challenges we ran into

We are currently searching still for companies and research groups that can help us to improve GUI, develop APIs to the software and validate further our idea.

Accomplishments that we're proud of

Mainly, the simplification of the GUI specifically for the use with bioreactors to shorten the on-boarding significantly for the user, which is necessary in the current very hectic and stressful situation. Also, the network that we could built to further improve and validate our solution.

What we learned

We got already a ton of new input and ideas how to make our solution even easier and faster to use and will work also after the hackathon on that. We got also further insight into how bioreactors work, the different kind of bioreactors and how to best communicate with them.

What's next for xT_Bioreactors

Pilot projects with companies and research institutions. We will start the first discussions this week and hope for further contacts from this hackathon.