ARTIFICIAL INTELLIGENCE IN THE OPTIMIZATION AND MODELING OF SILK FIBROIN BIOMATERIALS
DOI:
https://doi.org/10.61164/s41zs568Keywords:
Fibroina da Seda; Inteligência Artificial; Machine Learning.Abstract
Silk fibroin (SF), a natural protein derived from Bombyx mori, is a promising biomaterial due to its biocompatibility, biodegradability, and remarkable mechanical properties. However, optimizing its properties and biomedical applications such as tissue engineering, drug delivery, and biosensors remains a complex challenge. This article explores the emerging intersection between SF and Artificial Intelligence (AI) and how the latter can accelerate discovery, optimization of manufacturing processes, and predictive modeling of SF properties. We discuss the potential of AI to correlate the molecular structure of SF with its macroscopic properties, optimize degumming and solubilization, and predict the performance of scaffolds and nanoparticles. We conclude that the integration of AI represents a transformative paradigm, enabling the creation of next-generation SF biomaterials with enhanced functionality and performance
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