機械学習を用いた腫瘍免疫環境の解析による放射線治療効果予測

• Project/Area Number: 24K18834
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: Sapporo Medical University
• Principal Investigator: 眞船 翔 札幌医科大学, 医学部, 研究員 (40855847)
• Project Period (FY): 2024-04-01 – 2027-03-31
• Project Status: Declined (Fiscal Year 2024)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2026: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000); Fiscal Year 2025: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2024: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)