The rapidly expanding biomaterials data are challenging to organize. Text mining systems are powerful tools that automatically extract and integrate information in large textual collections. As text mining leaps forward by leveraging deep-learning approaches, it is time to address the most pressing biomaterials information and data processing needs.
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 751277 and from Plan TL Encargo project of the BSC.
The authors declare no competing interests.
European Materials Modelling Council: https://emmc.eu/
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Hakimi, O., Krallinger, M. & Ginebra, MP. Time to kick-start text mining for biomaterials. Nat Rev Mater 5, 553–556 (2020). https://doi.org/10.1038/s41578-020-0215-z