Machine Learning Method and Hyperspectral Imaging for Precise Determination of Glucose and Silicon Levels.

ABSTRACT: This article introduces an algorithm for detecting glucose and silicon levels in solution. The research focuses on addressing the critical need for accurate and efficient glucose monitoring, particularly in the context of diabetic management. Understanding and monitoring silicon levels in the body is crucial due to its significant role in various physiological processes. Silicon, while often overshadowed by other minerals, plays a vital role in bone health, collagen formation, and connective tissue integrity. Moreover, recent research suggests its potential involvement in neurological health and the prevention of certain degenerative diseases. Investigating silicon levels becomes essential for a comprehensive understanding of its impact on overall health and well-being and paves the way fo

SUBMITTER: Wawerski A 

PROVIDER: S-EPMC10893512 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature