RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences Medical Science Deep Learning Team

Team Director: Jun Seita (M.D., Ph.D.)

Japanese Page

Research Summary

Our laboratory conducts research on establishing the fundamental theories necessary for applying deep learning to the field of medical science. Specifically, our main research themes include constructing deep learning frameworks that perform predictions using time series data as input, reinforcement learning as a society in which numerous deep learning agents interact, and applying these fields to quantum computing.

Main Research Fields

Complex Systems

Related Research Fields

Informatics
Mathematical & Physical Sciences
Biological Sciences
Biology
Medicine, Dentistry & Pharmacy

Keywords

Deep Learning
Machine Learning
Prediction Science
Quantum Computing

Selected Publications

1. Miyasaka A, Kanda T, Nonaka N, Terakoshi Y, Cherasse Y, Ishikawa Y, Li Y, Takizawa H, Hirano A, Seita J, Yanagisawa M, Sakurai T, Sakurai K, Liu Q.:
"Sequential transitions of male sexual behaviors driven by dual acetylcholine-dopamine dynamics."
Neuron. 2025 Mar 3
2. Ho Thanh C.:
"Hamiltonian Reordering for Shallower Trotterization Circuits."
arXiv:2025.11153, March 2025
3. Nonaka N, Seita J.:
"Reliable and easy-to-use calculating tool for the Nail Psoriasis Severity Index using deep learning."
Machine Learning for Health, Vancouver, Dec 15-16, 2024
4. Ho Thanh C.:
"Improving Fine-Tuning with Latent Cluster Correction."
Fine-Tuning in Modern Machine Learning: Principles and Scalability (FITML) at NeurIPS, Vancouver, Dec 14, 2024
5. Nonaka N, Fujihira R, Koshiba T, Maeda A, Seita J.:
"Rugby Scene Classification Enhanced by Vision Language Model."
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVSports), Seattle, June 17, 2024
6. Tanaka K, Kato K, Nonaka N, Seita J.:
"Efficient HLA imputation from sequential SNPs data by Transformer."
Machine Learning for Health, New Orleans, Nov 28, 2022
7. Ambrosi TH, Marecic O, McArdle A, Sinha R, Gulati GS, Tong X, Wang Y, Steininger HM, Hoover MY, Koepke LS, Murphy MP, Sokol J, Seo EY, Tevlin R, Lopez M, Brewer RE, Mascharak S, Lu L, Ajanaku O, Conley SD, Seita J, Morri M, Neff NF, Sahoo D, Yang F, Weissman IL, Longaker MT, Chan CKF.:
"Aged skeletal stem cells generate an inflammatory degenerative niche."
Nature. 2021 Sep;597(7875):256-262.
8. Koga T, Ema R, Hirose K, Seita J.:
"Human and GAN collaboration to create haute couture dress."
Machine Learning for Creativity and Design Workshop at NeurIPS, Vancouver, Dec 9, 2019
9. Koga T, Nonaka N, Sakuma J, Seita J.:
"General-to-Detailed GAN for Infrequent Class Medical Images."
Machine Learning for Health Workshop at NeurIPS, Montreal, Dec 8, 2018
10. Chan CKF, Gulati GS, Sinha R, Tompkins JV, Lopez M, Carter AC, Ransom RC, Reinisch A, Wearda T, Murphy M, Brewer RE, Koepke LS, Marecic O, Manjunath A, Seo EY, Leavitt T, Lu WJ, Nguyen A, Conley SD, Salhotra A, Ambrosi TH, Borrelli MR, Siebel T, Chan K, Schallmoser K, Seita J, Sahoo D, Goodnough H, Bishop J, Gardner M, Majeti R, Wan DC, Goodman S, Weissman IL, Chang HY, Longaker MT.:
"Identification of the Human Skeletal Stem Cell."
Cell. 2018 Sep 20;175(1)

Lab Members

Principal investigator

Jun Seita: Team Director

Core members

Naoki Nonaka: Senior Research Scientist
Dorothy DeMore Ellis: Postdoctoral Researcher
Kazumi Yamada: Technical Staff II

Contact Information

Nihonbashi 1-chome Mitsui Building, 15th floor
1-4-1 Nihonbashi Chuo-ku, Tokyo
103-0027, Japan
Email: jun.seita@riken.jp