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Cited article:

Non-invasive prediction of cholesterol levels from photoplethysmogram (PPG)-based features using machine learning techniques: a proof-of-concept study

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Cogent Engineering 12 (1) (2025)
https://doi.org/10.1080/23311916.2025.2467153

Tear Fluid as a Matrix for Biomonitoring Environmental and Chemical Exposures

Parshawn Amini and Joseph O. Okeme
Current Environmental Health Reports 11 (3) 340 (2024)
https://doi.org/10.1007/s40572-024-00454-7

Futuristic Approach to Cholesterol Detection by Utilizing Non-invasive Techniques

Mithra Geetha, Kishor Kumar Sadasivuni, Somaya Al-Maadeed, Asan G.A. Muthalif, Sajna M.S and Mizaj Shabil Sha
Current Biotechnology 12 (2) 79 (2023)
https://doi.org/10.2174/2211550112666230419110914