Integrating Quality by Design (QbD) principles into nanomedicine development marks a paradigm shift from traditional empirical approaches to more systematic risk-based strategies. This review explores the application of QbD in pharmaceutical nanotech...
The blood-brain barrier (BBB) poses a major challenge to the effective delivery of therapeutic agents for the treatment of central nervous system (CNS) disorders. The integration of cell membrane engineering with nanotechnology has recently enabled t...
Fully wearable devices are crucial for real-time health monitoring, but existing devices often lack stable power, on-site signal processing, and multimodal sensing. To overcome these limitations, we introduce the first self-powered and fully wearable...
Advances in colloid and interface science
Apr 30, 2025
The intricate interplay between nanomaterials and the biological molecules has garnered considerable interest in understanding the dynamics of protein corona formation at the nano-bio interface. This review provides an in-depth exploration of protein...
Medical oncology (Northwood, London, England)
Mar 25, 2025
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to challenges in early detection, suboptimal therapeutic efficacy, and severe adverse effects associated with conventional treatments. The convergence ...
Critical reviews in oncology/hematology
Mar 13, 2025
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 a...
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jan 10, 2025
Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting effective small molecules for stable nanomedicines is challenging. This study used artificial intelligence (AI) to screen drug combinations for self-...
INTRODUCTION: Artificial intelligence (AI) is changing the field of nanomedicine by exploring novel nanomaterials for developing therapies of high efficacy. AI works on larger datasets, finding sought-after nano-properties for different therapeutic a...
European journal of medicinal chemistry
Dec 13, 2024
Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery by overcoming traditional challenges like high costs, time-consuming, and frequent failures. AI-driven approaches streamline key phases, including target identific...
The unique potential of nanomedicine to address challenging health issues is rapidly advancing the field, leading to the generation of more effective products. However, these complex systems often pose several challenges with respect to their design ...
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