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The project aims to address the issue of the lack of access to basic blood tests in a majority of the world’s population. We will explore the potential of Raman spectroscopy to provide a reagent-less alternative to traditional clinical chemistry methods. By proving that Raman spectroscopy, in conjunction with advanced machine learning, is able to quantitate critical yet low-concentration analytes, it is possible to develop a purpose-built, commercial, reagent-less clinical chemistry analyzer platform providing critical insight into the health of patients in low resource settings.
Keng Chou
EluciDx
Life Sciences
Professional, scientific and technical services
The University of British Columbia
Accelerate
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