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September 12, 2025FoodsOpen Access

Next-Generation Predictive Microbiology: A Software Platform Combining Two-Step, One-Step and Machine Learning Modelling

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Authors

FTFatih TarlakBSBurak SimsekMSM. Ö. Sahin

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Overview

This software integrates two-step and one-step modelling, showing improved predictive accuracy in microbial growth and inhibition.

Key Points

  • Novel software platform enhances predictive microbiology, allowing for improved modelling of microbial growth.
  • Integration of machine learning methods like Gaussian Process Regression achieves high predictive accuracy against datasets.
  • Direct comparisons between modelling approaches, including one-step and two-step frameworks, yield unprecedented evaluation flexibility.
  • Future enhancements will optimize the platform and expand its applicability in food safety and environmental monitoring.

Cite This Study

Tarlak et al. (2025) studied this question.

synapsesocial.com/papers/68d44a1d31b076d99fa52e59https://doi.org/10.3390/foods14183158
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