We are performing research using clinical information and biosignals, and also using biospecimen by collaborating with Okayama University Hospital Biobank (Okadai Biobank). Clinical information is derived from hospital information system (e.g., electronic medical records) and is applied to analysis and prediction of disease condition of patients with various diseases. Biosignals are information derived from our bodies through medical devices (e.g., ECG) and wearable devices (e.g., smart watches), and are applied to detect disease at early stage and to prevent progression.
Keywords: clinical informatics, biomedical informatics, biological information, biosignal processing, wearable devices, natural language processing (NLP), biobank
Website: https://www.bilab.jp

Introduction to Projects

Clinical Informatics / Biomedical Informatics

We can store and extract large-scale medical data easier by using Electronic Health Records (EHR) than paper health records. We are using medical records obtained from hospitals to gain new insights on diseases and to develop models for prognostic prediction.

Biological Information / Biosignal Processing

Sensors can collect various information on human physical and mental conditions. We are trying to utilize such sensor data collected by sensors in hospitals and daily living environment, and wearable devices, to capture symptoms of condition change, to detect diseases at early stage, and to monitor physical and/or mental conditions by ourselves.