Use Case: AI supports the diagnosis and treatment of neuromuscular diseases
In a research project with the Neuropaediatrics Department of the University Hospital Essen, the Leibniz Institute for Analytical Sciences (ISAS) and the MVZ Institute for Clinical Genetics in Bonn, data analytics and data science applications are to be used for the first time to optimize health research in the field of neuromuscular diseases. The aim of the joint project is to improve the diagnosis and treatment of diseases by analyzing patient data using a special algorithm.
Currently, costly and complex genetic tests and their accurate interpretation are necessary for a reliable diagnosis. Therefore, faster diagnostic procedures are to be developed by means of simpler protein tests, which would then often prevent lengthy diagnoses and thus enable a suitable therapy to be initiated more quickly. For the evaluation of the test results, INFORM DataLab has developed a special algorithm that is designed to detect certain correlations in the data and thus reliably predict which form of neuromuscular disease a patient is suffering from.