Robotics & Machine Learning Daily News2024,Issue(Oct.25) :19-19.

Russian Academy of Sciences Reports Findings in Machine Learning (Machine learning assisted rapid approach for quantitative prediction of biochemical parameters of blood serum with FTIR spectroscopy)

Robotics & Machine Learning Daily News2024,Issue(Oct.25) :19-19.

Russian Academy of Sciences Reports Findings in Machine Learning (Machine learning assisted rapid approach for quantitative prediction of biochemical parameters of blood serum with FTIR spectroscopy)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Troitsk, Rus sia, by NewsRx correspondents, research stated, “This study develops regression models for predicting blood biochemical data using Fourier-transform infrared sp ectroscopy (FTIR) analysis. Absorption at specific wavelengths of blood serum is revealed to have strong correlations with biochemical parameters, such as ALT, amylase, AST, protein, bilirubin, Gamma-GT, iron, calcium, uric acid, triglyceri des, phosphatase and cholesterol, were shown.”

Key words

Troitsk/Russia/Eurasia/Amylases/Biochemicals/Biochemistry/Chemicals/Cyborgs/Emerging Technologies/Enzymes and Coenzymes/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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