Artificial intelligence is emerging as a transformative factor in the
development of nanomedicine—the integration of nanotechnology and biomedical
science to solve complex health problems. This paper reports on the synergistic
integration of AI and nanomedicine, with a focus on the contributions it makes towards
creating nanoscale materials, upgrading nanomaterials, and applications in diagnostics,
drug delivery, and regenerative therapy. AI-driven approaches rapidly identify the ideal
properties of nanomaterials, enhance the interaction between drugs and nanoparticles,
and improve the accuracy of their mechanism for targeting diseases. Here, predictive
modeling using machine learning algorithms accelerates progress in nanocarriers,
nanosensors, and imaging technologies, while providing an opportunity to detect
diseases at early stages and customize targeted therapeutic strategies [1].
The article highlights revolutionary breakthroughs enabled by AI in addressing the
aforementioned limitations of nanomedicine, specifically in terms of production scales,
regulatory burdens, and nano-material toxicity. Case studies illustrating AI-driven
breakthroughs in treatments for cancer, cardiovascular diseases, and neurological
disorders describe improved clinical results through targeted and advanced diagnostics
and treatments. However, the convergence of AI and nanomedicine also raises ethical,
regulatory, and data-related issues that require interdisciplinary collaboration and
robust frameworks for responsible implementation. This study highlights the potential
of AI in transforming nanomedicine, paving the way for next-generation medical
solutions that are more secure, efficient, and tailored to meet the unique needs of
patients. By connecting computational technologies with biomedical applications, the
research envisions a future in which AI-driven nanomedicine revolutionizes healthcare
delivery worldwide [2].
Keywords: Artificial intelligence, Drug delivery systems, Deep learning, Machine learning, Nanosensors, Nanomedicine, Nanotechnology, Personalized medicine, Predictive modeling, Targeted therapy.
