Merit Oluchi Ori - Department of Microbiology Federal University of Technology Owerri, Nigeria
Francis-Dominic Makong Ekpan - Department of BioTechnology Federal University of Technology Owerri, Imo State Nigeria
Humphrey Sam Samuel - Department of Chemical Sciences, Federal University Wukari, Taraba State, Nigeria
Odii Peter Egwuatu - Department of Anatomy, Ebonyi State University, Abakaliki, Nigeria

The integration of artificial intelligence (AI) and nanotechnology has revolutionized the field of nanomedicine. AI’s large-scale data processing and pattern recognition capabilities can enhance the design of nanotechnologies for diagnosis and therapy. This integration can address challenges in fabrication and targeted drug delivery for cancer therapy. AI’s rapid data mining and decision-making capabilities can lead to more innovative solutions. The convergence of biology, AI, and nanotechnology is fostering a scientific and technological revolution. Recent studies show that AI can improve the design of nanotechnologies for diagnostics and treatment by processing large datasets and recognizing complex patterns. AI is also used in nanomedicine design to optimize material properties based on interactions with target medications, biological fluids, immune systems, and cell membranes.

Artificial intelligence, nanomedicine, Nanotechnology, Drug