Digit­iz­a­tion, mod­el­ing and arti­fi­cial intelligence

Step by step, most indus­tries will be con­cerned with the inter­con­nec­ted­ness through the Inter­net of Things (IoT). In this sense, the digit­al pro­gress will also affect bio­tech­no­logy: whole new ways of indus­tri­al pro­duc­tion, in health care or food will be cre­ated. New tech­no­lo­gic­al applic­a­tions are sup­posed to improve research and ther­apies in bio­tech­no­logy and med­ic­al engin­eer­ing. They also con­trib­ute to easi­er and more effect­ive mon­it­or­ing and gov­ern­ing of pro­cesses. A few examples are petri dishes that are equipped with integ­rated sys­tems to mon­it­or cul­tiv­a­tion con­di­tions, autom­ized labs and lab-assist­ance-sys­tems that are set up with Aug­men­ted Real­ity, OR-instru­ments that con­tain track­ing func­tions, or react­ors con­tain­ing (soft) sensors that are com­bined with deep learn­ing mon­it­or and steer the pro­duc­tion process.