Browsing Faculty of Science & Technology (FST) by Subject "Diagnostic Analysis, Modeling, Trace Biometals, Speciation Alterations, Urinary Tract Cancers, Machine Learning Based X-ray Fluorescence, Scatter (Xrfs) Spectrometry"
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Diagnostic Analysis and Modeling of Trace Biometals and Speciation Alterations in Urinary Tract Cancers by Machine Learning Based X-ray Fluorescence and Scatter (Xrfs) Spectrometry
(University of Nairobi, 2023)X-ray fluorescence spectroscopy has the capability to determine the levels, chemical speciation, and distribution of trace biometals in a biological sample for disease diagnostics. Direct biometals analysis in soft tissues ...