Discernable machine learning methods for Raman micro‐spectroscopic stratification of mitoxantrone‐induced drug‐resistant cells in acute myeloid leukemia
Ajinkya Anjikar,
Keita Iwasaki,
Rajapandian Paneerselvam
et al.
Abstract:Drug resistance plays a vital role in both cancer treatment and prognosis. Especially, early insights into such drug‐induced resistance in acute myeloid leukemia (AML) can help to improve treatment plans, reduce costs, and bring overall positive outcomes for patients. Raman spectroscopy provides precise biomolecular information and can provide all these necessities effectively. In this study, we employed machine learning (ML) discrimination of Raman micro‐spectroscopic data of myelocytic leukemia cell line HL‐… Show more
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