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Dataset Information

Frontline clinical diagnosis-FTIR on pancreatic cancer.


ABSTRACT:

Objective

Accurate, easily accessible and economically viable cancer diagnostic tools are pivotal in improving the abysmal 5% survival rate of pancreatic cancer.

Methods

A novel, affordable, non-invasive diagnostic method has been developed by combining measurement precision of infrared spectroscopy with classification using machine learning tools.

Results

Diagnosis accuracy as high as 90% has been achieved. The study investigated urine and blood from pancreas cancer patients and healthy volunteers, and significantly improved accuracy by focusing on sweet-spots within blood plasma fractions containing molecules within a narrow range of molecular weights.

SUBMITTER: Duckworth E 

PROVIDER: S-EPMC10501286 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature