| 研究開始時の研究の概要 |
Oral cancer is rising in low- and middle-income countries, with over 80% of cases diagnosed late, leading to a 5-year survival rate of only ~25%. Early detection enables effective, low-cost treatment, but access to advanced screening is limited. This study proposes a portable, non-invasive method using AI-assisted Raman spectroscopy of saliva for early diagnosis. The label-free technique provides rapid, reliable results via a laptop, enabling onsite use. This approach aims to improve survival and support point-of-care diagnostics in underserved regions.
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