Knowledge Gaps in Generating Cell-Based Drug Delivery Systems and a Possible Meeting with Artificial Intelligence

Cell-based drug delivery systems are new strategies intargeteddelivery in which cells or cell-membrane-derived systems are usedas carriers and release their cargo in a controlled manner. Recently,great attention has been directed to cells as carrier systems fortreating several diseases. There are various challenges in the developmentof cell-based drug delivery systems. The prediction of the propertiesof these platforms is a prerequisite step in their development toreduce undesirable effects. Integrating nanotechnology and artificialintelligence leads to more innovative technologies. Artificial intelligencequickly mines data and makes decisions more quickly and accurately.Machine learning as a subset of the broader artificial intelligencehas been used in nanomedicine to design safer nanomaterials. Here,how challenges of developing cell-based drug delivery systems canbe solved with potential predictive models of artificial intelligenceand machine learning is portrayed. The most famous cell-based drugdelivery systems and their challenges are described. Last but notleast, artificial intelligence and most of its types used in nanomedicineare highlighted. The present Review has shown the challenges of developingcells or their derivatives as carriers and how they can be used withpotential predictive models of artificial intelligence and machinelearning.