A machine learning based model accurately predicts cellular response to electric fields in multiple cell types

HIGHLIGHTS

• who: Brett Sargent from the DepartmentUniversity of have published the paper: A machine learning based model accurately predicts cellular response to electric fields in multiple cell types, in the Journal: Scientific Reports Scientific Reports
• what: The authors propose a predictive deep learning-based approach to modeling EF-guided migration at the single-cell level. The authors demonstrate these two in the last two sections of the results through the generation of synthetic directedness data and by coupling it with a proportional-integral-derivative (PID) controller tasked with controlling cell migration patterns. The authors show that . . .
  

   

  

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