A User's Guide to Machine Learning for Polymeric Biomaterials.

ABSTRACT: The development of novel biomaterials is a challenging process, complicated by a design space with high dimensionality. Requirements for performance in the complex biological environment lead to difficult a priori rational design choices and time-consuming empirical trial-and-error experimentation. Modern data science practices, especially artificial intelligence (AI)/machine learning (ML), offer the promise to help accelerate the identification and testing of next-generation biomaterials. However, it can be a daunting task for biomaterial scientists unfamiliar with modern ML techniques to begin incorporating these useful tools into their development pipeline. This Perspective lays the foundation for a basic understanding of ML while providing a step-by-step guide to new users on ho

SUBMITTER: Meyer TA 

PROVIDER: S-EPMC10103193 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature