研究所について

Using the insights gained from the Yamagata Cohort Study so far, we aim to apply the latest knowledge in behavioral science to create practical methods that support healthier and happier lives for individuals and communities. By linking research with practical actions, we aim to address community challenges and contribute to sustainable changes that enhance the Well-Being of the entire community.

We aim to improve Well-Being by using advanced technologies like AI (Artificial Intelligence) and DX (Digital Transformation). Through innovations such as AI-based health predictions and enhanced access to healthcare with DX, we will provide solutions that support the health and well-being of communities. We will continue working on initiatives to create positive changes in local communities.

To enhance the Well-Being of the community, we are dedicated to improving health and supporting healthy lifestyles by combining our expertise in drug discovery and nutrition education. By building evidence in drug discovery research and nutrition therapy, we aim to develop practical solutions.We hope to work together with the community to explore new drug discovery targets and develop innovative nutrition education strategies.

This department conducts cohort studies of community residents and manages data to ensure the safe and effective use of big data. It also provides effective support to researchers within and outside the university, as well as to the local community, to promote interdisciplinary cohort studies and translational research across the university.

Building on the findings of the Yamagata Cohort Study, we are dedicated to advancing the future of personalized medicine by fully utilizing multi-omics analysis technology.

Multi-omics analysis is a cutting-edge method that examines a wide range of molecular data from the body, such as the genome, transcriptome, proteome, and metabolome, all at once. This approach helps us understand complex biological processes. Through this innovative technology, we aim to contribute to the future of personalized and genomic medicine by enabling the early detection, diagnosis, and treatment of diseases.