Medical devices are vital in modern healthcare, but they can also pose risks for life-threatening complications. In this thesis, multifunctional mucin glycoproteins are used as building blocks for biomedical devices to improve how well those devices integrate into physiological environments without damaging surrounding tissue. To meet medical standards, strategies to achieve sufficient sterility of mucin-containing products are evaluated. Furthermore, the application of Machine Learning models to support the analysis of complex biological surfaces is explored.
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Medical devices are vital in modern healthcare, but they can also pose risks for life-threatening complications. In this thesis, multifunctional mucin glycoproteins are used as building blocks for biomedical devices to improve how well those devices integrate into physiological environments without damaging surrounding tissue. To meet medical standards, strategies to achieve sufficient sterility of mucin-containing products are evaluated. Furthermore, the application of Machine Learning models t...
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