For pre- and clinical research and diagnostic purposes, it’s important that medical images are not just images, diagnosis reports are not just unstructured information, molecular data are not just separated from results of image analysis. Researchers would be supported best, if suspicious or malicious structures of tissue samples are identified at the early stages. In that case the researchers and doctors be able to apply their expert knowledge more efficiently and to focus on the illness itself.
This is exactly, what the HS Analysis GmbH from Karlsruhe (GER) does science 2015, when it comes to automated image analysis, structure reports and bring them with knowledge from molecular data. The integration of these approaches in the hardware and its infrastructure is one of the main skills of HS Analysis.
The company is working worldwide closely with different partners together, when digitization, digitalization and automation of medical data is going to be a part of daily routine in diagnosis and research with AI techniques.
With the help of modern AI, Deep Learning and Active Learning supported methods HS Analysis, believes to seriously inspire quantification and prediction in diagnosis, CDx and research areas such as the evaluation or early detection of e.g. cancer.