Neural Computation in industrial applications of life science informatics
Dietlind Zühlke
Fraunhofer-Institute of Applied Information Technology (FIT), Germany

Abstract:

The department of Life Science Informatics of the Fraunhofer Institute of Applied Information Technology is concerned with the realization of complex biomedical information systems. Neural computation approaches are self-evident in this field not only because the underlying mechanisms of adaptation and self-organization are intuitively understandable for domain experts (in this case biologists and medical scientists). Another asset of those approaches is that they are easily adaptable to different conditions via learning. We will consider some applications (e.g. automatic cell culturing, automatic pollen recognition and image-based cancer research) of neural computation methods in biology and medicine, discussing their corresponding properties.