| Project/Area Number |
25K20609
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
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| Research Institution | Fujita Health University |
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Principal Investigator |
HE YUPENG 藤田医科大学, 医学部, 助教 (00953267)
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| Project Period (FY) |
2025-04-01 – 2027-03-31
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| Project Status |
Granted (Fiscal Year 2025)
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| Budget Amount *help |
¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2026: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2025: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | Generative AI / Generative data / Epidemiology / Machine learning |
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| Outline of Research at the Start |
Generative AI can now create long text and images closely resembling those obtained in real world. However, whether generative AI and generated data can be applied remains challenging in epidemiological research.
This study aims to use existing epidemiological data as a learning base, and introduce generative AI tools to generate new synthetic data (generated data). This study will also explore whether the generated data can be effectively used for constructing prediction models.
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