{"title":"Emerging Era in Colloidal Carriers Approach for Enhanced Transdermal Drug Delivery","authors":"Mridul Modgil, Abhishek Sharma","doi":"10.2174/0115734137287023240103063237","DOIUrl":null,"url":null,"abstract":": Colloidal carriers are a promising type of carriers which play a crucial role in transdermal drug delivery and other topical applications. These carriers are usually present in the microscopic size, which offers different methods to enclose and deliver a diverse range of dynamic substances such as medicines, genes, and lipids. They offer distinct advantages by mimicking the natural structure of the skin's lipid bilayers using lipids and allowing the incorporation of different active compounds through the use of polymers. Recently, more advanced technology like artificial intelligence (AI) and machine learning (ML) has been adopted in the pharmaceutical field. The incorporation of artificial intelligence and machine learning techniques in colloidal carriers holds immense promise in revolutionizing the domain of drug delivery and nanomedicine. Machine learning algorithms can undergo training with the use of extensive datasets containing information on drug behavior within the human body, which can predict drug response within the body. Additionally, AI can be employed to anticipate various processes, thereby resulting in an enhanced delivery of medication using carriers. Many studies have shown the use of machine learning (ML) and artificial intelligence (AI) for optimizing the drug-carrying capacity via colloidal carriers. The present review concentrates on various categories of innovative colloidal vehicles in transdermal administration, alongside their penetration technique, benefit, and mechanism in the integumentary system. Outcomes from the different researches are critically assessed and showcase the potential of colloidal carriers to augment the penetration of drugs through the stratum corneum while minimizing adverse effects on the entire system with improved therapeutic effectiveness in various diseases.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Nanoscience","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.2174/0115734137287023240103063237","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
: Colloidal carriers are a promising type of carriers which play a crucial role in transdermal drug delivery and other topical applications. These carriers are usually present in the microscopic size, which offers different methods to enclose and deliver a diverse range of dynamic substances such as medicines, genes, and lipids. They offer distinct advantages by mimicking the natural structure of the skin's lipid bilayers using lipids and allowing the incorporation of different active compounds through the use of polymers. Recently, more advanced technology like artificial intelligence (AI) and machine learning (ML) has been adopted in the pharmaceutical field. The incorporation of artificial intelligence and machine learning techniques in colloidal carriers holds immense promise in revolutionizing the domain of drug delivery and nanomedicine. Machine learning algorithms can undergo training with the use of extensive datasets containing information on drug behavior within the human body, which can predict drug response within the body. Additionally, AI can be employed to anticipate various processes, thereby resulting in an enhanced delivery of medication using carriers. Many studies have shown the use of machine learning (ML) and artificial intelligence (AI) for optimizing the drug-carrying capacity via colloidal carriers. The present review concentrates on various categories of innovative colloidal vehicles in transdermal administration, alongside their penetration technique, benefit, and mechanism in the integumentary system. Outcomes from the different researches are critically assessed and showcase the potential of colloidal carriers to augment the penetration of drugs through the stratum corneum while minimizing adverse effects on the entire system with improved therapeutic effectiveness in various diseases.
期刊介绍:
Current Nanoscience publishes (a) Authoritative/Mini Reviews, and (b) Original Research and Highlights written by experts covering the most recent advances in nanoscience and nanotechnology. All aspects of the field are represented including nano-structures, nano-bubbles, nano-droplets and nanofluids. Applications of nanoscience in physics, material science, chemistry, synthesis, environmental science, electronics, biomedical nanotechnology, biomedical engineering, biotechnology, medicine and pharmaceuticals are also covered. The journal is essential to all researches involved in nanoscience and its applied and fundamental areas of science, chemistry, physics, material science, engineering and medicine.
Current Nanoscience also welcomes submissions on the following topics of Nanoscience and Nanotechnology:
Nanoelectronics and photonics
Advanced Nanomaterials
Nanofabrication and measurement
Nanobiotechnology and nanomedicine
Nanotechnology for energy
Sensors and actuator
Computational nanoscience and technology.