Extracting oncology-related indicators and laboratory test results from free-text medical records for searchable and more complete patient pathways at hospitals. We are collecting data and markers from medical records, digital fever systems, neurotrauma database, conducting neuromonitoring, neuroimaging, electrophysiology, and patient pathway monitoring.
With our contribution, complex individual monitoring of relevant sensory data can be used for reliable prediction of seizures while eliminating the risk of invasive treatment. We set up an automated analysis pipeline and a visual clinical research tool for a clinical study for seizure prediction based on data from wearable ECG sensors and continuous recordings.
Drug innovation usually takes considerable time and research. With ML, time and cost required can be substantially decreased, and the reliability of the results will be improved. The analysis report provided for drug researchers supports the hypothesis on a target molecule with an intelligent second opinion analysis.