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In Vitro Bioassay Techniques for Anticancer Drug Discovery and Development
This comprehensive and useful handbook represents a definitive up-to-date compendium of key in vitro bioassay methods that are employed to quantify and validate the anticancer activity of a drug candidate before it makes its way in to animal or clinical trials. In Vitro Bioassay Techniques for Anticancer Drug Discovery and Development covers the screening and evaluation of potential drug candidates in a wide category of anticancer assays demonstrating the specific ways in which various pharmaceutical bioassays interpret the activity of drug molecules. The major emphasis of the book is to present those bioassays which can be readily set up and practiced in any laboratory with limited funds, facilities or technical know-how.
In Vitro Bioassay Techniques for Anticancer Drug Discovery and Development
This comprehensive and useful handbook represents a definitive up-to-date compendium of key in vitro bioassay methods that are employed to quantify and validate the anticancer activity of a drug candidate before it makes its way in to animal or clinical trials. In Vitro Bioassay Techniques for Anticancer Drug Discovery and Development covers the screening and evaluation of potential drug candidates in a wide category of anticancer assays demonstrating the specific ways in which various pharmaceutical bioassays interpret the activity of drug molecules. The major emphasis of the book is to present those bioassays which can be readily set up and practiced in any laboratory with limited funds, facilities or technical know-how.
Proceedings of International Conference on Computational Intelligence
The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 – 30 December, 2022. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning, metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, diffe...
Recent Trends in Computational Sciences
This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management. The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.
Advances in Computing and Network Communications
This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Computing and Network Communications (CoCoNet'20), October 14–17, 2020, Chennai, India. The papers presented were carefully reviewed and selected from several initial submissions. The papers are organized in topical sections on Signal, Image and Speech Processing, Wireless and Mobile Communication, Internet of Things, Cloud and Edge Computing, Distributed Systems, Machine Intelligence, Data Analytics, Cybersecurity, Artificial Intelligence and Cognitive Computing and Circuits and Systems. The book is directed to the researchers and scientists engaged in various fields of computing and network communication domains.
Gender Perspectives on Industry 4.0 and the Impact of Technology on Mainstreaming Female Employment
Almost all economies have, or are at least starting to, understand the significance of examining and mainstreaming gender issues in the world of work. Sociocultural evolution and various other factors have helped these developments, but there is still so much more work to be done. Technology has played a substantial role in decreasing the gender divide as more households than ever before have access to technology, and the revolution of access to information across most societies has become gender neutral and empowering. While technology can hold the potential to significantly expand the job market and open opportunities for all job seekers, questions surrounding automation and availability o...
CLINICAL REVIEW ARTICLES IN PHYSIO PHARMACOLOGY
Diabetes mellitus (DM) is a chronic metabolic disorder manifested by an enhanced blood glucose levels. DM is categorized into type 1 diabetes and Type 2 diabetes. Metformin is an anti-diabetic medication that is related to the biguanide class. Metformin is the first treatment for Type 2 DM because of its efficacy, safety and minimal risk of hypoglycemia. Sulfonyl ureas namely glipizide and glyburide activate insulin secretion from pancreatic beta cells. Meglitinides, like nateglinide and repaglinide also activate insulin secretion, but their action is short - lived compare to sulfonyl ureas. Thiazolidine diones (TZDs) along with pioglitazone and rosiglitazone activate insulin sensitivity par...
Advanced Machine Learning Algorithms for Complex Financial Applications
The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.
Microfinance Metaverse Intervention in Changing Context
"Microfinance Metaverse Intervention in Changing Context" delves into the transformative intersection of microfinance and the burgeoning metaverse. As the digital realm of the metaverse expands, the book explores its profound implications on microfinance, examining how virtual banking and digital currencies are revolutionizing grassroots financial services. Beyond traditional models, microfinance institutions are now tapping into virtual economies, leveraging immersive technologies to reach underserved populations with unparalleled efficiency. The narrative seamlessly intertwines the technological nuances of the metaverse with the core principles of microfinance, offering insights into the democratization of finance in this digital age. Yet, with innovation come challenges. The book doesn't shy away from addressing the regulatory hurdles, ethical dilemmas, and socio-economic considerations that this fusion introduces. A groundbreaking exploration, it lays the foundation for understanding the next frontier in financial inclusion in our ever-evolving digital landscape.
