Advanced therapy medicinal products (ATMPs) are a part of medicines that use carriers for targeted delivery of genes, tissues, cells, and drug. In ATMPs, knowledge has a great effect in enhancing the delivery process. Knowledge can be transferred or gained. It is an understanding of someone or something which is acquired through perceiving, discovering, inferencing, experiencing, and learning. Here, a swarm of nano drug carriers are guided towards cancer sites. At first, the drug carriers’ (nanomachines’) intention reach from self-knowledge (pure knowledge state) by doing simple fuzzy inferencing to more sophisticated collective knowledge (flourishing knowledge state) by joining the closing swarm to cancer site, and then further enhancing their knowledge through knowledge seeding. The Vascular Endothelial Growth Factor (VEGF) concentration is used here as a cancer marker since it is high around cancer sites based on in vivo data. As soon as nanomachines reach the flourishing knowledge state, the swarm intention changes from cancer reaching to the cost reduction by doing the rule reduction. This change of intention based on the current need is defined as a cognitive knowledge seeding based on uncertainty shaping. To do this, we do the rule reduction using a singular value decomposition (SVD) in a collective manner. The proposed method outperforms the state of the art in having resilient rule reduction, less computation, and more energy saving, while having better therapeutic result.

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