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How Not To Drown in Data: A Guide for Biomaterial Engineers.

Aliaksei S Vasilevich1, Aurélie Carlier1, Jan de Boer1

  • 1Laboratory for Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, The Netherlands.

Trends in Biotechnology
|July 12, 2017
PubMed
Summary

Computational methods, including machine learning and simulations, help analyze large datasets from high-throughput cell-material interaction assays. These tools manage the data deluge from rapid biomaterial screening, revealing patterns and aiding in hypothesis testing.

Keywords:
biomaterialsin silico screeningmachine learningmodeling

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