循環器病・認知症予防に向けた、機械学習による新因子の解明と個別最適化モデルの開発

• Project/Area Number: 25K02888
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
• Research Institution: Okayama University
• Principal Investigator: 神田 秀幸 岡山大学, 医歯薬学域, 教授 (80294370)
• Project Period (FY): 2025-04-01 – 2029-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥18,720,000 (Direct Cost: ¥14,400,000、Indirect Cost: ¥4,320,000); Fiscal Year 2028: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000); Fiscal Year 2027: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000); Fiscal Year 2026: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000); Fiscal Year 2025: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)