Recent Trends in Drug Delivery Systems DOI
Omnia Mohamed Sarhan

Assay and Drug Development Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Drug delivery systems are now being advanced by integrating sophisticated nanotechnologies to enhance therapeutic efficacy. Tremendous advancement has been achieved in the field of cancer therapy through utilization hyaluronic acid-based nanocarriers, which well-acknowledged for their capacity transport medication precisely targeted regions. Quantum dots exhibit unique optical properties that allow precise drug administration and monitoring capabilities. Carbon nanotubes provide a large surface area exceptional strength, allowing manipulation patterns. Dendrimers versatile structures can many drugs simultaneously, whereas mesoporous silica-functionalized nanoparticles exact release rate pharmaceuticals. Polymer-lipid hybrid synergistically integrate durability polymers with compatibility lipids, hence augmenting availability within body. Hexagonal boron nitride nanosheets becoming more recognized as favorable carriers due biocompatibility potential tailored administration. These achievements demonstrate changes happening pharmaceutical administration, where nanotechnology is used tackle issues such restricted bioavailability unanticipated adverse effects. This ultimately enhances effectiveness medicines improves patient outcomes. Future investigations will focus on improving these technologies broader applications.

Language: Английский

Next-generation microfluidics based on artificial intelligence: Applications for food sample analysis DOI

Sara Movahedi,

Farshad Bahramian,

Mahnaz Ahmadi

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113395 - 113395

Published: March 1, 2025

Language: Английский

Citations

1
A review of deep learning for super-resolution in fluid flows DOI
Filippos Sofos, Dimitris Drikakis

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(4)

Published: April 1, 2025

Integrating deep learning with fluid dynamics presents a promising path for advancing the comprehension of complex flow phenomena within both theoretical and practical engineering domains. Despite this potential, considerable challenges persist, particularly regarding calibration training models. This paper conducts an extensive review analysis recent developments in architectures that aim to enhance accuracy data interpretation. It investigates various applications, architectural designs, performance evaluation metrics. The covers several models, including convolutional neural networks, generative adversarial physics-informed transformer diffusion reinforcement frameworks, emphasizing components improving reconstruction capabilities. Standard metrics are employed rigorously evaluate models' reliability efficacy producing high-performance results applicable across spatiotemporal data. findings emphasize essential role representing flows address ongoing related systems' high degrees freedom, precision demands, resilience error.

Language: Английский

Citations

0
Machine learning enables predictions of microfluidic step emulsification DOI

Payam Rahimi,

Sarah Shakhsostad

Journal of Dispersion Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: April 23, 2025

Language: Английский

Citations

0
Recent Trends in Drug Delivery Systems DOI
Omnia Mohamed Sarhan

Assay and Drug Development Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Drug delivery systems are now being advanced by integrating sophisticated nanotechnologies to enhance therapeutic efficacy. Tremendous advancement has been achieved in the field of cancer therapy through utilization hyaluronic acid-based nanocarriers, which well-acknowledged for their capacity transport medication precisely targeted regions. Quantum dots exhibit unique optical properties that allow precise drug administration and monitoring capabilities. Carbon nanotubes provide a large surface area exceptional strength, allowing manipulation patterns. Dendrimers versatile structures can many drugs simultaneously, whereas mesoporous silica-functionalized nanoparticles exact release rate pharmaceuticals. Polymer-lipid hybrid synergistically integrate durability polymers with compatibility lipids, hence augmenting availability within body. Hexagonal boron nitride nanosheets becoming more recognized as favorable carriers due biocompatibility potential tailored administration. These achievements demonstrate changes happening pharmaceutical administration, where nanotechnology is used tackle issues such restricted bioavailability unanticipated adverse effects. This ultimately enhances effectiveness medicines improves patient outcomes. Future investigations will focus on improving these technologies broader applications.

Language: Английский

Citations

0