AIと遺伝子変異情報を基盤とした年齢別健診標準値予測と個別健康指導法の開発

• Project/Area Number: 25K03217
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 62010:Life, health and medical informatics-related
• Research Institution: Kanazawa University
• Principal Investigator: 佐藤 賢二 金沢大学, 融合科学系, 教授 (10215783)
• 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: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2027: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000); Fiscal Year 2026: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000); Fiscal Year 2025: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)