Artificial intelligence-powered microfluidics for nanomedicine and materials synthesis

纳米医学 计算机科学 人工智能应用 纳米技术 微流控 人工智能 数据科学 材料科学 纳米颗粒
作者
Linbo Liu,Mingcheng Bi,Yunhua Wang,Junfeng Liu,Xiwen Jiang,Zhongbin Xu,Xingcai Zhang
出处
期刊:Nanoscale [The Royal Society of Chemistry]
卷期号:13 (46): 19352-19366 被引量:39
标识
DOI:10.1039/d1nr06195j
摘要

Artificial intelligence (AI) is an emerging technology with great potential, and its robust calculation and analysis capabilities are unmatched by traditional calculation tools. With the promotion of deep learning and open-source platforms, the threshold of AI has also become lower. Combining artificial intelligence with traditional fields to create new fields of high research and application value has become a trend. AI has been involved in many disciplines, such as medicine, materials, energy, and economics. The development of AI requires the support of many kinds of data, and microfluidic systems can often mine object data on a large scale to support AI. Due to the excellent synergy between the two technologies, excellent research results have emerged in many fields. In this review, we briefly review AI and microfluidics and introduce some applications of their combination, mainly in nanomedicine and material synthesis. Finally, we discuss the development trend of the combination of the two technologies.
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