Nanotheranostics Revolutionizing Gene Therapy: Emerging Applications in Gene Delivery Enhancement

Journal of Nanotheranostics, Journal Year: 2025, Volume and Issue: 6(2), P. 10 - 10

Published: April 9, 2025

Nanotheranostics—where nanoscale materials serve both diagnostic and therapeutic functions—are rapidly transforming gene therapy by tackling critical delivery challenges. This review explores the design engineering of various nanoparticle systems (lipid-based, polymeric, inorganic, hybrid) to enhance stability, targeting, endosomal escape genetic payloads. We discuss how real-time imaging capabilities integrated into these platforms enable precise localization controlled release genes, improving treatment efficacy while reducing off-target effects. Key strategies overcome barriers (such as proton sponge effect photothermal disruption) achieve nuclear are highlighted, along with recent advances in stimuli-responsive that facilitate spatiotemporal control expression. Clinical trials preclinical studies demonstrate expanding role nanotheranostics managing cancer, inherited disorders, cardiovascular neurological diseases. further address regulatory manufacturing hurdles must be for widespread clinical adoption nanoparticle-based therapies. By synthesizing progress ongoing challenges, this underscores transformative potential effective, targeted, image-guided delivery.

Language: Английский

Machine Learning in Polymeric Technical Textiles: A Review

Polymers, Journal Year: 2025, Volume and Issue: 17(9), P. 1172 - 1172

Published: April 25, 2025

The integration of machine learning (ML) has begun to reshape the development advanced polymeric materials used in technical textiles. Polymeric materials, with their versatile properties, are central performance textiles across industries such as healthcare, aerospace, automotive, and construction. By utilizing ML AI, researchers now able design optimize polymers for specific applications more efficiently, predict behavior under extreme conditions, develop smart, responsive that enhance functionality. This review highlights transformative potential polymer-based textiles, enabling advancements waste sorting (with classification accuracy up 100% pure fibers), material (predicting stiffness properties within 10% error), defect prediction (enabling proactive interventions fabric production), smart wearable systems (achieving response times low 192 ms physiological monitoring). AI technologies drives sustainable innovation enhances functionality textile products. Through case studies examples, this provides guidance future research using technologies.

Language: Английский