Explore chapters and articles related to this topic
Nanophytomedicines as an Emerging Platform for Drug Delivery
Published in Parimelazhagan Thangaraj, Lucindo José Quintans Júnior, Nagamony Ponpandian, Nanophytomedicine, 2023
Arjunan Karuppaiah, Sankar Veintramuthu, Muthiah Ramanathan
Currently, nanotechnology has a wide range of applications in the pharmaceutical industry and research. Typically, nanocarriers for drug delivery have been found to be potentially more beneficial in many aspects than conventional drug delivery systems. Generally, nanocarriers protect drugs and genes from enzymatic degradation, improve their physicochemical properties, overcome biological barriers and enhance systemic bioavailability.
Emerging Pollutants in Aquatic Systems and Recent Advances in Its Removal Techniques
Published in Uma Shanker, Manviri Rani, Liquid and Crystal Nanomaterials for Water Pollutants Remediation, 2022
Deepika Saini, Ruchi Aggarwal, Prashant Dubey, Kumud Malika Tripathi, Sumit Kumar Sonkar
The emerging pollutants are categorized into six above said major groups of chemicals. Firstly, pharmaceutical compounds which are further subdivided into different categories viz. antibiotics, analgesics, steroids and non-steroid, etc. Pharmaceuticals are widely used to cure human and animal diseases (Ebele et al. 2017). Secondly, personal care products (PCPs) are identified as cosmetic and health care chemicals with large numbers and diverse chemical nature available in the market; for example, triclosan, galaxolide, paracetamol, musks, tonalide, iopamidol, carbamazepine, diclofenac (Ebele et al. 2017). Endocrine disrupting compounds (EDCs) are groups of compounds or chemicals
A Machine Learning Approach to Improve the Pharmaceutical Industry Machinery
Published in Bharat Bhushan, Nitin Rakesh, Yousef Farhaoui, Parma Nand Astya, Bhuvan Unhelkar, Blockchain Technology in Healthcare Applications, 2022
Shadreck N. Tasiyana, Prince Chitopho, Tawanda Mushiri, Abid Yahya
In the preclinical phase, where drug effect and processing are examined, alternate drug formulations are developed to create a drug with the requisite properties. A pharmaceutical drug formulation is determined by the ingredients’ type, quantity, and processing conditions. In the past, formulators would use statistical techniques in modelling formulations, and they had to rely on response surfaces to provide an optimisation mechanism. However, this would be misleading at times for complex formulations [24]. AI has since provided a better alternative to formulation generation of pharmaceuticals, such as the use of neural networks, fuzzy logic to assist model formulations.
A web mining-based case adaptation model for quality assurance of pharmaceutical warehouses
Published in International Journal of Logistics Research and Applications, 2019
Valerie Tang, Paul K. Y. Siu, K. L. Choy, G. T. S. Ho, H. Y. Lam, Y. P. Tsang
With the increasing demand for pharmaceutical products, ensuring high quality of such products is critical to protect the health of patients. Due to the characteristics of such products, which are smaller in size, with a wide variety and highly sensitive to the change of storage environment, an effective quality assurance scheme is critical for LSPs in handling such products in warehousing and packaging operations when complying with the GMP. This paper described a web mining-based quality assurance system (WMQAS) to facilitate the decision-making of staff in formulating an effective QA scheme in pharmaceutical warehouses. With the use of the CBR technique, appropriate working instructions and procedures can be generated and a list of possible incidents that may occur in warehousing and packaging operations can be identified based on the past QA records. This can reduce the human effort in carrying out the complicated steps involved in the GMP. Apart from making use of human knowledge for revising the retrieved past QA record, online knowledge acquisition approach is also adopted in the case adaptation process of CBR. The TIDC algorithm embedded in the case adaptation process allows QA staff to cluster vast information into meaningful categories and hence to obtain the most relevant web information efficiently. By extracting web information from the Internet, the modification of QA records can be undertaken so as to improve the quality of the QA scheme in mitigating the new problems.
A numerical study of boundary layer flow of Williamson nanofluid in the presence of viscous dissipation, bioconvection, and activation energy
Published in Numerical Heat Transfer, Part A: Applications, 2023
Kanwal Jabeen, Muhammad Mushtaq, Tasmia Mushtaq, Rana Muhammad Akram Muntazir
The use of nanotechnology in medicine along with pharmaceutical industries has encouraged scientists to develop more economical applications. The heat transfer mechanism has physical applications in engineering and industry such as the formation of heat exchanger tubes, cooling towers, chimney stacks, and offshore structures. It also has significant applications in the engineering field and industrial applications, i.e., composition of plastic films, metal twisting, glass manufacturing, fiber production, extrusion paper, polymer, and metal twisting.
DMADV approach to evaluate the Adaptive Kanban performance for inventory management process: the case of Moroccan public pharmaceutical supply chain
Published in Supply Chain Forum: An International Journal, 2018
Malak Mouaky, Loubna Benabbou, Abdelaziz Berrado
A pharmaceutical inventory can contain a wide range of products, including: Medical devices, para-pharmaceutical products for internal use (food supplements, vitamins, etc.), external use (cosmetic, toiletry, etc.); veterinary drugs and drugs for human use.