
In the rapidly advancing field of plasma medicine, Cold Atmospheric Plasma (CAP) stands out for its potential in a range of therapeutic applications. Despite its promise, the clinical adoption of CAP faces significant challenges, due to using individually crafted in the research laboratories, particularly in accurately predicting and comparing the biological reports. To address this issue, in the present work, AI is used to boost the clinic-implementation issues and future challenges of CAP therapy.
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