International Journal of Nanomedicine

Artificial Intelligence Enabled Nanotechnology for Precision Theranostics

Artificial Intelligence (AI)-enabled nanotechnology is rapidly reshaping the design and application of advanced nanomaterials for biomedical diagnostics and drug delivery systems. The convergence of AI techniques—such as machine learning, deep learning, and predictive modeling—with functional nanomaterials (e.g., nanoparticles, nanocomposites, and stimuli-responsive systems) enables the rational design of highly efficient and adaptive healthcare solutions. This coupling between computational intelligence and material engineering facilitates precise control over physicochemical properties, targeted delivery, and real-time biological interactions. In diagnostics, AI-driven nanoplatforms enhance sensitivity and specificity through intelligent signal processing and biomarker recognition, enabling early and accurate disease detection. In parallel, AI-assisted optimization of drug loading, release kinetics, and targeting mechanisms significantly improves therapeutic outcomes while minimizing side effects. This Special Issue aims to explore recent advances at this interdisciplinary interface, highlighting how AI–nanomaterial integration is driving the development of next-generation, data-driven, and patient-centered diagnostic and therapeutic systems.

This convergence is critical as healthcare systems face increasing demands for early diagnosis, personalized treatment, and improved therapeutic efficiency. Conventional diagnostic and drug delivery approaches often suffer from limited sensitivity, poor targeting, and high variability in patient response. AI-enabled nanomaterials address these challenges by enabling data-driven design, predictive performance, and adaptive functionality at the nanoscale. This leads to faster, more accurate diagnostics and safer, more effective therapies. Ultimately, such integrated technologies have the potential to reduce healthcare costs, accelerate clinical translation, and support the transition toward precision and personalized medicine.

This Article Collection covers the development and application of AI-enabled nanotechnology, particularly nanomaterials, within the scope of nanomedicine, focusing on their roles in advanced diagnostics and targeted drug delivery. Topics of interest include:

• Design of functional nanoparticles (e.g., lipid-based, polymeric, metallic, and hybrid nanostructures),
• AI-assisted nanotechnology optimization, and intelligent nanosystems for disease detection and therapy,
• Biosensing platforms, imaging-enhanced nanodiagnostics, stimuli-responsive drug delivery, and nano–bio interactions,
• Computational modeling, data-driven design, and translational nanomedicine.

Please review the journal’s aims and scope and author submission instructions prior to submission.

Please submit your manuscript through the Dovepress website. During submission, enter the promo code 9A8F2 to indicate that your submission is for consideration in this Article Collection.

Please contact Haoyang Yi (Commissioning Editor) at [email protected] with any queries regarding this Article Collection.

Guest Advisors:

Prof. Mohamed Kchaou, University of Bisha

[email protected]

Prof. Mohamed Kchaou is a Full Professor at the University of Bisha, Saudi Arabia, and a Senior Researcher in sustainability and advanced materials. He is ranked among the Stanford–Elsevier World’s Top 2% Scientists (2025) and has received multiple awards for excellence in research, innovation, and academic leadership. He has authored more than 200 scientific contributions, including over 130 peer-reviewed journal articles, and has established a strong international collaboration network with leading universities and research centers worldwide. His research focuses on the integration of artificial intelligence with advanced nanomaterials for healthcare, energy, and circular economy applications, with a particular emphasis on AI-enabled nanomedicine and emerging technologies for societal impact.

Prof. Md Faiyazuddin, ARAM Institute

[email protected]

Prof. Md Faiyazuddin is Professor & Principal at ARAM Institute, India, and Former Dean (R&D) and Professor of Pharmaceutics at Al-Karim University. He also serves as Adjunct Professor at SIMATS and UniKL Global Research Fellow (GloRe). With over 19 years of experience across academia and industry in India and Saudi Arabia, he has held senior leadership roles, including Business Director at Nano Drug Delivery® USA. His research focuses on AI-enabled nanomedicine and advanced drug delivery systems, integrating artificial intelligence with engineered nanomaterials to develop targeted therapeutic platforms. He has authored more than 200 scientific contributions, including over 130 peer-reviewed journal articles, with over 2400 citations (h-index 25). A recipient of the DST Young Scientist and Dr. P.D. Sethi Awards, his work emphasizes translational innovation in pharmaceutical sciences.