Time & Location
About The Event
Modern rapid prototyping technologies for the life sciences such as printable and digital microfluidics allow for significantly more flexibility in experimental design while scaling experiments to harvest exponentially more data than compared to manual processes. This leap in innovation poses a new situation 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.