| Budget Amount *help |
¥39,130,000 (Direct Cost: ¥30,100,000、Indirect Cost: ¥9,030,000)
Fiscal Year 2020: ¥10,270,000 (Direct Cost: ¥7,900,000、Indirect Cost: ¥2,370,000)
Fiscal Year 2019: ¥10,270,000 (Direct Cost: ¥7,900,000、Indirect Cost: ¥2,370,000)
Fiscal Year 2018: ¥18,590,000 (Direct Cost: ¥14,300,000、Indirect Cost: ¥4,290,000)
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| Outline of Final Research Achievements |
In this study, we first measured a large amount of exhaled breath samples at the hospitals using a recently developed olfactory sensor called MSS, and analyzed the data using machine learning. We succeeded in establishing a highly reproducible protocol for breath measurements and data analyses. Furthermore, by measuring the exhaled breath of cancer patients using this established protocol and analyzing the obtained data using machine learning, we succeeded in constructing a model that can predict whether a patient has cancer or not with high accuracy.
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