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Big Data Medical Science Lab
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The lab uses medical big data and supercomputers to open up the future of medicine and drug discovery.
AboutAbout the lab
Opening up medicine and drug discovery with data and simulation
The lab applies simulation science and data science, a new current of research alongside experimental science and theoretical science, to medicine and drug discovery.
It works on the analysis of medical big data and medical AI using real clinical data from Kyoto University Hospital, as well as on new methodologies and foundation models for simulation-based and AI-based drug discovery using the supercomputer Fugaku.
Key terms
- Medical AI
- Artificial intelligence used for tasks such as supporting diagnosis and predicting patients' conditions
- In silico drug discovery
- Using computer calculations to search for and design new drug candidates
- Biomarker
- A substance in the body that provides clues about the state of a disease or the effectiveness of a treatment
ResearchResearch themes
The lab aims to open up simulation science and data science for applications in medicine and drug discovery.
*Illustrative imageMedical big data analysis and medical AI
The lab develops methods for analyzing many kinds of big data together. It predicts changes in each patient's disease state, treatment effects, and side effects, and searches for new biomarkers and drug targets.
*Illustrative imageSimulation-based and AI-based drug discovery
Through an industry-academia consortium of pharmaceutical companies, IT companies, and universities, the lab develops cutting-edge technologies for computational drug discovery (in silico drug discovery) using AI and the supercomputer Fugaku.
MembersFaculty
- ProfessorYasushi Okuno
- Program-Specific Associate ProfessorMitsugu Araki
- Program-Specific Associate ProfessorShigeyuki Matsumoto
- Program-Specific Associate ProfessorTakao Otsuka
- Program-Specific Associate ProfessorEiichiro Uchino
- Program-Specific LecturerHirohiko Kohjitani
- Assistant ProfessorMinoru Sakuragi
- Program-Specific Assistant ProfessorMai Nakazawa
- Program-Specific Assistant ProfessorItsuki Maeda
- Program-Specific Associate ProfessorYohei Mineharu
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Eqiadwmf 9060” RobH / CC BY-SA 3.0 (cropped)
- Medical big data analysis and medical AI: “Heatmap” Miguel Andrade at English Wikipedia / Public domain (cropped)
- Simulation-based and AI-based drug discovery: “Aripiprazole bound to Dopamine D2 Receptor docking model” EpsilonVisuals / CC BY-SA 4.0 (cropped)
- Related lab (バイオメディカルデータサイエンス): “Principles of machine learning” Langs, G., Röhrich, S., Hofmanninger, J. et al. / CC BY 4.0 (cropped)
- Related lab (知能医工学): “Cone Beam CT” Ptrump16 / CC BY-SA 4.0 (cropped)
- Related lab (生体物理リハビリテーション研究室): “Physiotherapy therapy and occupational therapy” Ashashyou / CC BY-SA 3.0 (cropped)
- Related lab (医学物理学): “Flowchart of the standard radiomics model” Chaddad, A.; Kucharczyk, M.J.; Cheddad, A.; Clarke, S.E.; Hassan, L.; Ding, S.; Rathore, S.; Zhang, M.; Katib, Y.; Bahoric, B.; Abikhzer, G.; Probst, S.; Niazi, T. / CC BY 4.0 (cropped)
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