Mathematical and machine learning-assisted modelling of Raman spectroscopy for biomedical applications
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Over the past few decades, Raman spectroscopy has emerged as a powerful biomedical tool. Its non-destructive nature and sensitivity to subtle biochemical changes, particularly when combined with machine learning, have enabled promising applications such as sur... ...
