Title

Machine Learning Makes Magnificent Macromolecules For Medicine

Document Type

Article

Publication Date

8-3-2022

School

Polymer Science and Engineering

Abstract

At the University of Minnesota, scientists explore the application of machine learning to screen a multiparametric library of polymers to investigate the relationship between polymer attributes, payload type, and biological outcomes to optimize polymeric vector development for delivery of nucleic acid payloads.

Publication Title

Matter

Volume

5

Issue

8

First Page

2558

Last Page

2561

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