Artificial intelligence for biomedical engineering of polysaccharides: A short overview

The advent of computer-aided concepts and cognitive algo-rithms, along with fuzzy sets and fuzzy logic thoughts, supported the idea of 'making computers think like people' (Lotfi A. Zadeh, IEEE Spectrum, 21 (26-32), 1984). Such a school of thought enabled the sophistication of mission-oriented development of biomaterials and biosystems with the aid of 'Artificial Intelligence' (AI). Since polysaccharides (PSA) are medically safe and rely on stimuli-responsiveness, we herein highlight the importance of using AI-based algorithms in PSA-based biomedical engineer-ing. Since manufacturing PSA-based biomaterials by AI experi-ences a very early stage of maturity, pattern recognition and behavior visualization by 'Machine Learning' (ML) models are not stressed herein. Nevertheless, exceptional chemical fea-tures of PSA such as surface modification and high adaptability facilitate ML-aided innovations. PSA-based biomaterials reveal diverse biomedical properties; therefore, summarizing, sorting, and recalling the best scenarios and optimization of the perfor-mance features of PSA still seems far from reach. We just highlight herein PSA-based biomedical engineering by the aid of AI to establish an agenda for the future. Herein, the outlook of targeted drug delivery vehicles, skin tissue engineering tem-plates, wound healing systems, cancer treatment platforms, biosensors, personalized detection complexes, and particularly AI-aided bioprinting are generally covered.