⚡ Quick Summary
The integration of artificial intelligence (AI) with nanomedicine has led to groundbreaking advancements in the development of smart multifunctional nanocarriers (SMNs) for drug and gene delivery. These innovations promise enhanced precision and personalization in therapeutic applications, addressing critical challenges in traditional drug delivery systems.
🔍 Key Details
- 📊 Focus: AI-driven innovations in SMNs for drug and gene delivery
- ⚙️ Technologies: Integration of AI with polymeric, lipidic, and inorganic nanoparticles
- 🏆 Applications: Oncology and hematology
- 📈 Challenges: Data standardization, regulatory compliance, and scalability
🔑 Key Takeaways
- 🤖 AI enhances the design and optimization of SMNs, improving drug loading and release kinetics.
- 💡 Personalized medicine is becoming more achievable through AI-assisted nanocarrier development.
- 🌟 Clinical and preclinical studies demonstrate the effectiveness of AI in nanocarrier applications.
- 🔬 Interdisciplinary collaboration is essential to fully unlock AI’s potential in nanomedicine.
- 🌍 The synergy between AI and nanotechnology paves the way for next-generation precision therapeutics.
📚 Background
The field of nanomedicine has seen significant advancements in recent years, particularly with the emergence of smart multifunctional nanocarriers (SMNs). These carriers are designed to deliver drugs and genes with high precision, addressing the limitations of traditional delivery systems. The incorporation of artificial intelligence (AI) into this domain has opened new avenues for enhancing the efficacy and safety of therapeutic interventions.
🗒️ Study
This mini-review explores the transformative role of AI in the fabrication and functionalization of SMNs. It highlights how AI-driven approaches can accelerate the design process, optimize drug loading and release kinetics, and improve biocompatibility. The review also discusses various advanced nanomaterials, including polymeric, lipidic, and inorganic nanoparticles, and their applications in fields like oncology and hematology.
📈 Results
The review emphasizes that AI-assisted development of SMNs has shown promising results in clinical and preclinical studies, particularly in enhancing targeted drug delivery and controlled release mechanisms. These advancements indicate a significant leap towards achieving personalized medicine, where treatments can be tailored to individual patient needs.
🌍 Impact and Implications
The integration of AI with nanotechnology is set to revolutionize the landscape of drug and gene delivery. By addressing critical limitations in traditional systems, AI-driven SMNs can lead to more effective and safer patient care. However, challenges such as data standardization and regulatory compliance must be addressed to fully realize the potential of these innovations in clinical settings.
🔮 Conclusion
This review underscores the incredible potential of AI in advancing the field of nanomedicine. The collaboration between AI and nanotechnology is paving the way for next-generation therapeutics, promising enhanced precision and personalization in treatment. Continued research and interdisciplinary collaboration are essential to overcome existing challenges and unlock the full capabilities of AI-driven SMNs.
💬 Your comments
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AI-Driven Innovations in Smart Multifunctional Nanocarriers for Drug and Gene Delivery: A Mini-Review.
Abstract
The convergence of artificial intelligence (AI) and nanomedicine has revolutionized the design of smart multifunctional nanocarriers (SMNs) for drug and gene delivery, offering unprecedented precision, efficiency, and personalization in therapeutic applications. AI-driven approaches enhance the development of these nanocarriers by accelerating their design, optimizing drug loading and release kinetics, improving biocompatibility, and predicting interactions with biological barriers. This review explores the transformative role of AI in the fabrication and functionalization of SMNs, emphasizing its impact on overcoming challenges in targeted drug delivery, controlled release, and theranostics. We discuss the integration of AI with advanced nanomaterials-such as polymeric, lipidic, and inorganic nanoparticles-highlighting their potential in oncology and hematology. Furthermore, we examine recent clinical and preclinical case studies demonstrating AI-assisted nanocarrier development for personalized medicine. The synergy between AI and nanotechnology paves the way for next-generation precision therapeutics, addressing critical limitations in traditional drug delivery systems. However, data standardization, regulatory compliance, and translational scalability challenges remain. This review underscores the need for interdisciplinary collaboration to unlock AI’s potential in nanomedicine fully, ultimately advancing the clinical application of SMNs for more effective and safer patient care.
Author: [‘Noury H’, ‘Rahdar A’, ‘Ferreira LFR’, ‘Jamalpoor Z’]
Journal: Crit Rev Oncol Hematol
Citation: Noury H, et al. AI-Driven Innovations in Smart Multifunctional Nanocarriers for Drug and Gene Delivery: A Mini-Review. AI-Driven Innovations in Smart Multifunctional Nanocarriers for Drug and Gene Delivery: A Mini-Review. 2025; (unknown volume):104701. doi: 10.1016/j.critrevonc.2025.104701