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Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies. (arXiv:2107.10332v7 [q-bio.OT] UPDATED)
cs.LG updates on arXiv.org arxiv.org
The early detection of cancer is a challenging problem in medicine. The blood
sera of cancer patients are enriched with heterogeneous secretory lipid bound
extracellular vesicles (EVs), which present a complex repertoire of information
and biomarkers, representing their cell of origin, that are being currently
studied in the field of liquid biopsy and cancer screening. Vibrational
spectroscopies provide non-invasive approaches for the assessment of structural
and biophysical properties in complex biological samples. In this pilot study,
multiple Raman spectroscopy measurements …
arxiv bio cancer learning machine machine learning ot patients