Tohoku Univ. Technology : Mood State Assessment and Prediction Model Using Multimodal Data: T24-089
Applications in Bipolar Disorder Treatment and Early Detection of Depressive States
In treating bipolar disorder, patients must be aware of their mood fluctuations and maintain a regular lifestyle. Hypomanic states are difficult to distinguish from remission and may lead to treatment discontinuation; accurate mood monitoring is therefore essential. In the general population, early detection of depression and bipolar disorder is also important, and tracking mood variability may contribute to improvements in social functioning and interpersonal relationships. This invention is a model that evaluates current mood states and predicts future mood based on multimodal daily health data. An app implementing this model serves as a tool that enables users to objectively monitor their mood state (manic, normal, or depressive) without subjective self-reporting burden. Expected applications span a wide range of use cases, including treatment support and relapse prevention for bipolar disorder patients, early detection of manic and depressive episodes, and performance enhancement in healthy individuals.
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The revenue generated from technology transfer is reinvested into universities and researchers as new research funding, which is used to create further research outcomes. To ensure the smooth operation of this cycle, known as the "Intellectual Creation Cycle," we will actively promote technology transfer. The types of seeds we handle include patents, know-how, databases, and programs. We have established a collaborative framework by concluding basic technology transfer agreements with the following universities (as of April 1, 2026): - Tohoku University - Hirosaki University - Iwate University - Akita University - Fukushima University - Yamagata University - Tohoku Gakuin University - Iwate Medical University - Fukushima Medical University - Aizu University - Miyagi University - Hokkaido University - Muroran Institute of Technology - Showa Medical University - Asahikawa Medical University
