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.
Digital Twins and Artificial Intelligence
In the future, the virtual part of process monitoring and control will be more often conducted via digital twins. These imaginary entities of a real object or process link the obtained data – compared to a pure computer model – with algorithms to predict further incidents. In only a few years’ time, software-based process assistants will distribute historical and live data within seconds and provide the idealized process conditions to the connected instruments. In a more distant future, AI will propose experimental designs or create whole new bioprocessing pathways for demanded molecules – by the help of synthetic biotechnology, among others.
The network “Models for Diagnostics and Process Optimization” – in short called “MoDiPro” – introduces pioneering concepts from industry…
The Internet of Things is regarded as a substantial, future field of development for profound innovations. This development also holds true…
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