Bayesian and deep-learning models applied to the early detection of ovarian cancer using multiple longitudinal biomarkers.

Luis AbregoAlexey ZaikinInes P MarinoMikhail I KrivonosovIan JacobsUsha MenonAleksandra Gentry-MaharajOleg Blyuss

Published in: Cancer medicine (2024)

Our study identified and tested different combination of biomarkers using longitudinal multivariable models that outperformed CA125 alone. We showed the potential of multivariable models and candidate biomarkers to increase the detection rate of ovarian cancer.

Keyphrases

deep learning
cross sectional
risk assessment
loop mediated isothermal amplification
quantum dots
sensitive detection