拡散モデルを用いた経時的画像情報と臨床情報の統合による革新的経過予測モデルの構築

• Project/Area Number: 25K15955
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 90130:Medical systems-related
• Research Institution: Chiba University
• Principal Investigator: 川田 奈緒子 千葉大学, 医学部附属病院, 特任准教授 (00400896)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2027: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2026: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2025: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)