Artificial intelligence for personalized nanomedicine; from material selection to patient outcomes

Applying artificial intelligence (AI) to nanomedicine has greatly increased the production of specially engineered nanoscale materials for tailored medicine, marking a significant advancement in healthcare. With the use of AI, researchers can search through massive databases and find nano-properties that support a range of therapeutic objectives, eventually producing safer, customized nanomaterials. AI analyzes patient data, including clinical and genetic information, to predict results for individualized care and makes recommendations for therapy improvement. Furthermore, AI logically creates nanocarriers that give precise and controlled drug release patterns that optimize therapeutic advantages and minimize undesirable side effects. Even though AI has a lot of potential for nanomedicine, there are still issues including data integration techniques, moral dilemmas, and the requirement for governmental backing. Future developments in AI tools and multidisciplinary cooperation between scientists with expertise in biological sciences and nanoengineering are essential for individualized nanomedicine. Together, these disciplines can propel advancements in AI and precision medicine, contributing to the ultimate objective—a future in which AI and nanomedicine combine to provide really individualized healthcare. The authors of this editorial encourage the use of AI in nanomedicine and call on scientists, physicians, and legislators to acknowledge its potential to transform patient care and treatment.