2023-12-14 エディンバラ大学
◆研究者はAIツールを使用して舌の表面の構造を予測し、舌の表面にある異なる種類の突起を85%の精度で特定できることを明らかにしました。この手法を他の生体表面や異常な成長の早期検出・診断に活用する計画も進行中です。
<関連情報>
- https://www.ed.ac.uk/news/2023/ai-study-reveals-individuality-of-tongue-s-surface
- https://www.nature.com/articles/s41598-023-46535-9
機械学習と位相幾何学的データ解析により、3Dスキャンからヒト乳頭のユニークな特徴を特定 Machine learning and topological data analysis identify unique features of human papillae in 3D scans
Rayna Andreeva,Anwesha Sarkar & Rik Sarkar
Scientific Reports Published:14 December 2023
DOI:https://doi.org/10.1038/s41598-023-46535-9
Abstract
The tongue surface houses a range of papillae that are integral to the mechanics and chemistry of taste and textural sensation. Although gustatory function of papillae is well investigated, the uniqueness of papillae within and across individuals remains elusive. Here, we present the first machine learning framework on 3D microscopic scans of human papillae (n=2092), uncovering the uniqueness of geometric and topological features of papillae. The finer differences in shapes of papillae are investigated computationally based on a number of features derived from discrete differential geometry and computational topology. Interpretable machine learning techniques show that persistent homology features of the papillae shape are the most effective in predicting the biological variables. Models trained on these features with small volumes of data samples predict the type of papillae with an accuracy of 85%. The papillae type classification models can map the spatial arrangement of filiform and fungiform papillae on a surface. Remarkably, the papillae are found to be distinctive across individuals and an individual can be identified with an accuracy of 48% among the 15 participants from a single papillae. Collectively, this is the first evidence demonstrating that tongue papillae can serve as a unique identifier, and inspires a new research direction for food preferences and oral diagnostics.
