Professor
Graduate School of Frontier Sciences
The University of Tokyo
Hiroshi Abe | Professor Graduate School of Science Nagoya University |
Yutaka Saito | Professor School of Frontier Engineering Kitasato University |
Kengo Sato | Professor School of Life Science and Technology Institute of Science Tokyo |
We will develop a technology to design mRNAs with desired performance from protein amino acid sequences by utilizing the archive of publicly available biological information and deep learning, and by using a DBTL cycle that greatly reduces the amount of experimentation. Proteins to be designed are selected from medical applications such as viral vaccines, cancer vaccines, gene editing, and protein replacement therapy. Effectiveness of the technology will be demonstrated by measurement of the performance of the designed mRNAs.
Professor
Graduate School
University of Toyama
Taro Toyoizumi | Team Leader Center for Brain Science RIKEN |
Tatsuya Haga | Tenure-track researcher Advanced ICT Research Institute National Institute of Information and Communications Technology |
We aim to apply a large language model to the multi-layered, multi-dimensional data obtained from the brain during learning and sleep. This will lead to the development of a data analysis system that visualizes crucial neural activities during sleep. We will establish a feedback loop between experiments, data science, and mathematical models. This will uncover the mechanisms of information processing in both non-REM and REM sleep, shedding light on the brain’s learning processes during sleep. Additionally, we will propose functional hypotheses regarding sleep-related brain learning and construct mathematical models to implement them.
Professor
Medical Institute of Bioregulation
Kyushu University
Soya Shinkai | Senior Scientist Center for Biosystems Dynamics Research RIKEN |
Takuya Funatomi | Associate professor Graduate School of Science and Technology Nara Institute of Science and Technology |
Kazumitsu Maehara | Assistant Professor Medical Institute of Bioregulation Kyushu University |
The process of mammalian development involves numerous stochastic and unknown factors, making a detailed understanding of the cell fate regulation mechanism challenging. In this research, we will target the early developmental stages of mice and organoids to analyze the cell-to-cell heterogeneity in gene expression, the epigenomic factors that regulate it, and intercellular interactions in a data-driven, multimodal, and spatiotemporal manner, elucidating the cell fate regulation mechanism.
Professor
School of Life Science and Technology
Institute of Science Tokyo
Natsue Yoshimura | Professor School of Computing Institute of Science Tokyo |
Excessive crying in infants can stress parents. In this research, we will develop a sleep-support wearable system that utilizes the transport response, in which the child becomes docile when carried. Then, from experimental data at home, we will construct a machine-learning model that estimates the infant’s probability of falling asleep after childcare activities from pulse wave information before the activities. From this model, we will evaluate the autonomic nervous system activities that control sleep onset and verify this model in physiological experiments on mice, to control infant night crying and predict sleep onset.
Professor
Graduate School of Biostudies
Kyoto University
Kenta Suzuki | Research & Development Scientist BioResource Research Center RIKEN |
Masato Yamamichi | Associate Professor National Institute of Genetics Research Organization of Information and Systems |
We will establish techniques to overview the “multistability” of microbiomes from the perspective of ecosystem-level biological functions. In particular, we will focus on the phenomenon of rapid changes in species compositions, elucidating the biological and non-biological core factors driving the time-series dynamics of ecosystems based on the integration of causal inference and network science. Furthermore, we will construct experimental systems for plant- and fish-associated microbiomes, providing general technical frameworks for controlling ecosystem-level dynamics and functions in the medical, agricultural, and industrial fields
Specially Appointed Associate Professor
Premium Research Institute for Human Metaverse Medicine
Osaka University
Advancements in genome editing and synthetic biology have amplified the demand for DNA synthesis, underscoring the urgent need for more sophisticated automation in this field. However, adopting automated processes is constrained by the complexities of operating such systems and the absence of established protocols for sharing experimental procedures. In this study, we aim to address these challenges by developing a conversational AI agent that utilizes advanced large-scale language models to facilitate DNA design and synthesis automation.