Machine learning-enabled prediction of 3d-printed microneedle features

HIGHLIGHTS

• who: Misagh Rezapour Sarabi and collaborators from the Graduate School of Sciences and Engineering, Koç University, Istanbul, Turkey have published the research: Machine Learning-Enabled Prediction of 3D-Printed Microneedle Features, in the Journal: Biosensors 2022, 12, x FOR PEER REVIEW of /2022/
• what: In this regard, porcine flank skin was used in this study, and the capability of the fabricated PLA MNAs' insertion into the skin was investigated. This can empower the trained models to be more applicable for future research purposes.
• how: After running the algorithms using python programming and open . . .
  

   

  

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