Biomedical Informatics

In our research area, we use data from clinical settings and daily life to better understand human health and contribute to the future of medicine and healthcare. Our research focuses on biological data from wearable devices such as smartwatches, clinical data stored in electronic health records, and data from biological samples such as blood and urine. Recently, we have focused on evaluating sleep and recovery using wearable devices, and on discovering medical knowledge by combining clinical data with machine learning and large language models (LLMs). We also collaborate with the Okayama University Hospital Biobank on research involving biological sample storage, genomic data, and proteomic data.

Keywords: Biological information, biomedical signal processing, wearable devices, medical informatics, machine learning, biological samples, biobank, early detection