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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Evolving Applications of Artificial Intelligence and Machine Learning in Infectious Diseases Testing.

Nam K Tran1, Samer Albahra1, Larissa May2

  • 1Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, CA.

Clinical Chemistry
|December 30, 2021
PubMed
Summary

Artificial intelligence (AI) and machine learning (ML) can enhance infectious disease testing by analyzing diverse data streams, overcoming human limitations, and providing predictive insights for better clinical decisions. Laboratory professionals should embrace these evolving technologies.

Failed At:

2026-06-19T13:39:20.374002+00:00

Keywords:
COVID-19Lyme diseasedata streamelectronic medical recordsimmunoassaysmeningitispoint-of-care testingpredictive analyticssensor fusionsepsistuberculosis

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