| Co-Investigator(Kenkyū-buntansha) |
山田 誠 京都大学, 情報学研究科, 准教授 (00581323)
角田 達彦 東京大学, 大学院理学系研究科(理学部), 教授 (10273468)
山下 智志 統計数理研究所, データ科学研究系, 教授 (50244108)
服部 聡 大阪大学, 医学系研究科, 教授 (50425154)
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| Budget Amount *help |
¥113,750,000 (Direct Cost: ¥87,500,000、Indirect Cost: ¥26,250,000)
Fiscal Year 2020: ¥24,960,000 (Direct Cost: ¥19,200,000、Indirect Cost: ¥5,760,000)
Fiscal Year 2019: ¥24,440,000 (Direct Cost: ¥18,800,000、Indirect Cost: ¥5,640,000)
Fiscal Year 2018: ¥23,010,000 (Direct Cost: ¥17,700,000、Indirect Cost: ¥5,310,000)
Fiscal Year 2017: ¥20,150,000 (Direct Cost: ¥15,500,000、Indirect Cost: ¥4,650,000)
Fiscal Year 2016: ¥21,190,000 (Direct Cost: ¥16,300,000、Indirect Cost: ¥4,890,000)
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| Outline of Final Research Achievements |
We have developed statistical and machine learning methods and tools for the clinical development of personalized medicine and conducted many case studies in a wide range of disease fields. By comprehensively covering the main phases for developing personalized medicine, including the development and evaluation of diagnostic markers, evaluation of the efficacy of treatments based on diagnostic markers, integration of evidence for personalized medicine based on diagnostic markers, and marker-based decision-making in selecting treatment in medical practice, we have developed statistical and machine learning methodologies that are truly useful for clinical development of personalized medicine.
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