New technologies and Artificial Intelligence (AI) are increasingly supporting developing the future of medicine and medical technologies. Among these, multidisciplinary technologies such as nanobiotechnology are challenged on many fronts including the large data generated, data mining, curation, lack of standards, and subjectivity of the interpretation which could lead to errors and bias. As a consequence, possible problems concerning the process of decision-making practices could arise. Hence, AI can support the development of nanobiotechnology by synergizing across the many fields of science involved. Machine learning and/or deep learning can represent a novel approach for data mining and analysis of large amounts of datasets, predicting possible outcomes in a way that would not be possible in another way.
There is a gap in the State of the Art between the synergistic approach between nanobiotechnology and artificial intelligence as decision-making process for product development. The goal of this Research Topic is to highlight and bring forward currently emerging and ongoing research presenting how AI, Machine Learning, or deep learning can enable or accelerate the exploration of new technologies and their introduction into the market.
Keywords: artificial intelligence, nanobiotechnology, deep learning, machine learning nanomaterials, medical technologies
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