A machine learning-based framework to optimize nucleic acid retesting workflows: Practical insights for future "Disease X"

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Xin Yang, Feng Cheng, Li Ma, Rongxue Peng
DOI: 10.5281/zenodo.19039541
Cited by: 0

Abstract

Python code for machine learning framework to optimize nucleic acid retesting workflows, including model training, evaluation, and visualization.

Fields of Study & Subjects

SARS-CoV-2 detection and testing Clinical Laboratory Practices and Quality Control Data-Driven Disease Surveillance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 March 2026
Language
EN