Aparna Loecher, Michael Bruyns-Haylett, Pedro J. Ballester, Salvador Borros, Nuria Oliva

A machine learning approach to predict cellular uptake of pBAE polyplexes

  • General Materials Science
  • Biomedical Engineering

Machine Learning (ML) algorithms are ideal in silico tools to find patterns of cellular internalisation of pBAE polyplexes in various cell types, using chemical and biophysical material properties and cellular gene expression as model inputs.

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