Modern rapid-prototyping technologies for life sciences, such as printable and digital microfluidics allow for significantly more flexibility in experimental design while scaling experiments to harvest exponentially more data compared to manual processes. This leap in innovation poses new questions for how to deal with the information produced in labs, and further triggers new opportunities for applications in pharma and health. Open sourcing the experimental design - that is the hardware, software and wetware - as well as the generated information seems mandatory for analysing large datasets. Pooling of open knowledge allows for new type of business models in the pharmaceutical field based on big data of e.g. clinical diagnostic data on the one hand but also to personalize treatments for patients in hospitals. New healthcare problems can be tackled using this approach. A prominent example could be the antibiotic resistance threat which can in the future be encountered with automated and personalized phage therapy at the point of care.
18 years. Pregnant woman are not allowed to enter the lab to avoid health risks.
English language skills
In the workshop closed shoes and long trousers must be worn at all times. In case of non-compliance the access to BioKitchen is denied. It is strongly recommended to take a Biosafety Introduction course before joining any other course in the lab.
Notes on Booking
Changes and mistakes are not excluded.
Please check your contact details so that you can be contacted in case of any changes.
If you want to participate in our courses you can contact us (firstname.lastname@example.org) for a free voucher! Or simply come by on the open days on monday from 2-7pm and get one.