Increasing the Accuracy of Molecular Biomarkers via Evidence-based Algorithm Selection

Authors

Stephen R. Piccolo, Brigham Young University

Keywords

molecular biomarkers, evidence-based algorithm selection

College

Life Sciences

Department

Biology

Abstract

In making medical decisions, physicians need observable criteria that they can use to make accurate diagnoses, determine optimal treatments, and estimate a patient’s prognosis. The promise of precision medicine is that molecular-level observations can more accurately predict such information than traditional observations. I worked with undergraduate students at Brigham Young University to develop ways to improve the accuracy of such predictions by optimizing computer algorithms to handle the complexity of large, molecular data sets.

Recommended Citation

Piccolo, Stephen R. (2019) "Increasing the Accuracy of Molecular Biomarkers via Evidence-based Algorithm Selection," Journal of Undergraduate Research: Vol. 2019: Iss. 2019, Article 186.
Available at: https://scholarsarchive.byu.edu/jur/vol2019/iss2019/186