Opening the black box of machine learning-controlled plasma treatments

Katherine De Lange

doi:10.1063/10.0039452

September 15, 2025ScilightOpen Access

Opening the black box of machine learning-controlled plasma treatments

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Key Points

Machine learning significantly enhances the effectiveness of plasma treatments in cancer therapies,
Using novel methods, plasma treatments were optimized based on ML insights, contributing to better patient care.
This approach involves applying machine learning techniques to refine cold atmospheric plasma delivery in medical applications.
The findings highlight the potential for machine learning to transform treatment methodologies, warranting further exploration.

Implication

Observational analysis shows machine learning improves plasma treatment efficacy in cancer patients, suggesting new delivery approaches.

Abstract

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.

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Cite This Study

Katherine De Lange (2025) studied this question.

synapsesocial.com/papers/68d454c531b076d99fa5a075 https://doi.org/10.1063/10.0039452

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Opening the black box of machine learning-controlled plasma treatments

Key Points

Implication

Abstract

Discussion

Cite This Study

Opening the black box of machine learning-controlled plasma treatments

Key Points

Implication

Abstract

Discussion

Cite This Study

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