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#A leap forward for biomaterials design using AI

#A leap forward for biomaterials design using AI

A leap forward for biomaterials design using AI
Prediction results of water contact angle and adsorption of fibrinogen. Credit: Biomaterials Science & Engineering

SAMs are attractive for the development of many applications in organic electronics and the biomedical field. The two properties investigated in the study are of enormous interest to biomedical engineers. “For example, implant materials that exhibit low water contact angle enable fast integration with the surrounding hard tissues,” Hayashi says. “In the case of artificial blood vessels, the resistance to the adsorption of blood proteins, in particular fibrinogen, is a critical factor to prevent platelet adhesion and blood clotting.”
Overall, the study opens the door to advanced material screening and design of SAMs with potentially greatly reduced costs and time scales.
The researchers plan to continue scaling up their database and, within a few years, to expand their approach to include polymers, ceramics and metals.



More information:
Rudolf Jason Kwaria et al, Data-driven prediction of protein adsorption on self-assembled monolayers toward material screening and design, ACS Biomaterials Science & Engineering (2020). DOI: 10.1021/acsbiomaterials.0c01008

Citation:
A leap forward for biomaterials design using AI (2020, August 24)
retrieved 24 August 2020
from https://phys.org/news/2020-08-biomaterials-ai.html

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