Low-Cost Raman Spectroscopy Setup Combined with a Machine Learning Model

• Published in: Sensors (Basel, Switzerland) Vol. 25; no. 3; p. 659
• Main Authors: Domingos, Catarina, Fantoni, Alessandro, Fernandes, Miguel, Fidalgo, Jorge, Pereira, Sofia Azeredo
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 23.01.2025; MDPI
• Subjects: Algorithms; Biological markers; Biomarkers; Biomarkers - urine; Creatinine; Diagnosis; Emergency medical care; Health aspects; Humans; instrumentation; kidney disease; Kidney diseases; Kidney Diseases - diagnosis; Lasers; Machine Learning; Neural networks; Neural Networks, Computer; point of care; Radiation; Raman spectroscopy; sensor; Signal processing; Software; Spectrum analysis; Spectrum Analysis, Raman - methods; Urine; Portugal; diagnosis; kidney disease; point of care; sensor; instrumentation; Raman spectroscopy

The diagnosis of kidney diseases presents significant challenges, including the reliance on variable and unstable biomarkers and the necessity for complex and expensive laboratory tests. Raman spectroscopy emerges as a promising technique for analyzing complex fluids, like urine, and detecting impor...