Cancer treatments during pregnancy pose serious risks, particularly chemotherapy, due to the potential transplacental passage of drugs that may attack the fetus. Such exposure can lead to malformations or, in severe cases, miscarriage. Despite these concerns, there is a clinical need for effective and safe cancer therapy for pregnant patients. The objective of this thesis is to develop a nanoparticle-based drug delivery system capable of reducing fetal exposure to chemotherapeutic agents, while simultaneously introducing a novel machine learning (ML)-driven strategy to optimize the nanoparticle design process. Specifically, polymeric nanoparticles were synthesized using Poly-(Lactic-co-Glycolic Acid) (PLGA) to encapsulate doxorubicin and minimize its transplacental transfer.