Download or read book Artificial Neural Network for Drug Design Delivery and Disposition written by Munish Puri and published by Academic Press. This book was released on 2015-10-15 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Neural Network for Drug Design, Delivery and Disposition provides an in-depth look at the use of artificial neural networks (ANN) in pharmaceutical research. With its ability to learn and self-correct in a highly complex environment, this predictive tool has tremendous potential to help researchers more effectively design, develop, and deliver successful drugs. This book illustrates how to use ANN methodologies and models with the intent to treat diseases like breast cancer, cardiac disease, and more. It contains the latest cutting-edge research, an analysis of the benefits of ANN, and relevant industry examples. As such, this book is an essential resource for academic and industry researchers across the pharmaceutical and biomedical sciences. - Written by leading academic and industry scientists who have contributed significantly to the field and are at the forefront of artificial neural network (ANN) research - Focuses on ANN in drug design, discovery and delivery, as well as adopted methodologies and their applications to the treatment of various diseases and disorders - Chapters cover important topics across the pharmaceutical process, such as ANN in structure-based drug design and the application of ANN in modern drug discovery - Presents the future potential of ANN-based strategies in biomedical image analysis and much more

Download or read book A Handbook of Artificial Intelligence in Drug Delivery written by Anil K. Philip and published by Academic Press. This book was released on 2023-03-27 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Handbook of Artificial Intelligence in Drug Delivery explores the use of Artificial Intelligence (AI) in drug delivery strategies. The book covers pharmaceutical AI and drug discovery challenges, Artificial Intelligence tools for drug research, AI enabled intelligent drug delivery systems and next generation novel therapeutics, broad utility of AI for designing novel micro/nanosystems for drug delivery, AI driven personalized medicine and Gene therapy, 3D Organ printing and tissue engineering, Advanced nanosystems based on AI principles (nanorobots, nanomachines), opportunities and challenges using artificial intelligence in ADME/Tox in drug development, commercialization and regulatory perspectives, ethics in AI, and more. This book will be useful to academic and industrial researchers interested in drug delivery, chemical biology, computational chemistry, medicinal chemistry and bioinformatics. The massive time and costs investments in drug research and development necessitate application of more innovative techniques and smart strategies. - Focuses on the use of Artificial Intelligence in drug delivery strategies and future impacts - Provides insights into how artificial intelligence can be effectively used for the development of advanced drug delivery systems - Written by experts in the field of advanced drug delivery systems and digital health

Download or read book Recent Advances in Therapeutic Drug Monitoring and Clinical Toxicology written by Seth Kwabena Amponsah and published by Springer Nature. This book was released on 2022-10-25 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an overview of therapeutic drug monitoring (TDM) and its clinical application. It also highlights recent advances in toxicological studies, as they relate to therapeutic drug monitoring. This is one of the few books available on the market that covers TDM. Therapeutic drug monitoring (TDM) is a clinical decision-making tool that enables dosage regimen adjustments based on clinical and laboratory measurements. TDM not only involves the measuring of drug concentrations but also interpretation of the results. There is a strong correlation between drug concentrations in body fluids and outcome than between dose and outcome. The chapters include coverage of analytical techniques, pharmacokinetics, therapeutic indices, artificial intelligence and recent advances in toxicological studies. The book fills a gap in published literature and provides reliable information on; Analytical techniques in TDM and clinical toxicology TDM and pharmacokinetic studies TDM of drugs with narrow therapeutic indices Artificial intelligence in TDM and clinical toxicology Future directions and challenges

Download or read book Current Trends in Drug Discovery Development and Delivery CTD4 2022 written by Manikanta Murahari and published by Royal Society of Chemistry. This book was released on 2023-12-15 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication is based on peer-reviewed manuscripts from the 2022 Conference on Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) held at KL University, India. Providing a wide range of up to date topics on the latest advancements in drug design and discovery technologies, this book ensures the reader receives a good understanding of the scope of the field. Aimed at scientists, students, regulators, academics and consultants throughout the world, this book is an ideal resource for anyone interested in the state of the art in drug design and discovery.

Download or read book 3D Printing of Pharmaceuticals and Drug Delivery Devices written by Dimitrios A. Lamprou and published by MDPI. This book was released on 2020-07-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3D printing (3DP) process was patented in 1986; however, only in the last decade has it begun to be used for medical applications, as well as in the fields of prosthetics, bio-fabrication, and pharmaceutical printing. 3DP or additive manufacturing (AM) is a family of technologies that implement layer-by-layer processes in order to fabricate physical models based on a computer aided design (CAD) model. 3D printing permits the fabrication of high degrees of complexity with great reproducibility in a fast and cost-effective fashion. 3DP technology offers a new paradigm for the direct manufacture of individual dosage forms and has the potential to allow for variations in size and geometry as well as control dose and release behavior. Furthermore, the low cost and ease of use of 3DP systems means that the possibility of manufacturing medicines and medical devices at the point of dispensing or at the point of use could become a reality. 3DP thus offers the perfect innovative manufacturing route to address the critical capability gap that hinders the widespread exploitation of personalized medicines for molecules that are currently not easy to deliver. This Special Issue will address new developments in the area of 3D printing and bioprinting for drug delivery applications, covering the recent advantages and future directions of additive manufacturing for pharmaceutical products.

Download or read book Principles of Research Methodology and Ethics in Pharmaceutical Sciences written by Vikas Anand Saharan and published by CRC Press. This book was released on 2024-08-30 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pharmaceutical researchers are constantly looking for drug products, drug delivery systems and devices for improving the health of society. A scientific and systematic search for new knowledge requires a thorough understanding of research methods and hypothesis design. This volume presents pharmaceutical research through theoretical concepts, methodologies and ethical issues. It fulfils publication ethics course work requirements for students. Chapters have been designed to cater for the curriculum requirements of universities globally. This serves as a guide on how to apply concepts in designing experiments and transforming laboratory research into actual practice. Features: · Complete coverage of research methodology courses for graduate and postgraduate students globally. · Step-by-step assistance in writing technical reports, projects, protocols, theses and dissertations. · Experimental designing in pharmaceutical formulation development and preclinical research designs. · Ethics in using animals in preclinical research and humans in clinical research. · Publication ethics, best practices and guidelines for ensuring ethical writing. · Hypothetical and real-world case studies on ethical issues and measures for prevention and control.

Download or read book Contemporary Chemical Approaches for Green and Sustainable Drugs written by Marianna Torok and published by Elsevier. This book was released on 2022-08-26 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary Chemical Approaches for Green and Sustainable Drugs provides readers with the knowledge they need to integrate sustainable approaches into their work. Sections cover different aspects of green and sustainable drug development from design to disposal, including computer-aided drug design, green resourcing of drugs and drug candidates, an overview of the health concerns of pharmaceutical pollution, and a survey of potential chemical methods for its reduction. Drawing together the knowledge of a global team of experts, this book provides an inclusive overview of the chemical tools and approaches available for minimizing the negative environmental impact of current and newly developed drugs. This will be a useful guide for all academic and industrial researchers across green and sustainable chemistry, medicinal chemistry, environmental chemistry and pharmaceutical science. - Provides an integrative overview of the environmental risks of drugs and drug by products to support chemists in pre-emptively addressing these issues - Highlights the advantages of computer-aided drug design, green and sustainable sourcing, and novel methods for the production of safer, more effective drugs - Presents individual chapters written by renowned experts with diverse backgrounds - Reflects research in practice through selected case studies and extensive state-of-the-art reference sections to serve as a starting point in the design of any specialized environmentally-conscious medicinal chemistry project

Download or read book Polysaccharide Nanoparticles written by Jayachandran Venkatesan and published by Elsevier. This book was released on 2022-01-11 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: Polysaccharide Nanoparticles: Preparation and Biomedical Applications provides detailed information on polysaccharides nanoparticles in terms of their synthesis and applications. Naturally occurring polysaccharides are widely used as food materials, particularly in Asia. Different kinds of polysaccharide materials are available from nature with various resources such as crustaceans and algae. The exploration and exploitation of polysaccharides nanoparticles from natural resource is at the heart of this book, which also explores the synthesis, preparation and applications of polysaccharides nanoparticles for tissue engineering and food applications. This is an important reference for materials scientists and bioengineers who are looking to gain a greater understanding on how polysaccharides nanoparticles are being used for a variety of biomedical applications. - Explains the major synthesis and preparation methods of polysaccharide-based nanoparticles - Demonstrates how polysaccharides nanoparticles are being used for a range of biomedical applications, including tissue engineering, drug delivery and biosensors - Assesses the major challenges and risks of using polysaccharides nanoparticles safely and effectively

Download or read book Digitization of Healthcare Data using Blockchain written by T. Poongodi and published by John Wiley & Sons. This book was released on 2022-07-06 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: DIGITIZATION OF HEALTHCARE DATA USING BLOCKCHAIN The book gives a detailed description of the integration of blockchain technology for Electronic Health Records and provides the research challenges to consider in various disciplines such as supply chain, drug discovery, and data management. The aim of the book is to investigate the concepts of blockchain technology and its association with the recent development and advancements in the medical field. Moreover, it focuses on the integration of workflow strategies like NLP, and AI which could be adopted for boosting the clinical documentation and electronic healthcare records (EHR) usage by bringing down the physician EHR data entry. Also, the book covers the usage of smart contracts for securing patient records. Digitization of Healthcare Data Using Blockchain presents the practical implementations that deal with developing a web framework for building highly usable healthcare applications, a simple blockchain-powered EHR system. Audience Researchers in information technology, artificial intelligence, electronics engineering, medical informatics, as well as policymakers and healthcare providers and management systems.

Download or read book Artificial Intelligence and Machine Learning in Drug Design and Development written by Abhirup Khanna and published by John Wiley & Sons. This book was released on 2024-07-18 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.

Download or read book Machine Learning and Analytics in Healthcare Systems written by Himani Bansal and published by CRC Press. This book was released on 2021-06-30 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications.

Download or read book Nanotechnology Principles in Drug Targeting and Diagnosis written by Mahendra Rai and published by Elsevier. This book was released on 2023-07-26 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nanotechnology Principles in Drug Targeting and Diagnosis focuses on the nanotechnology principles and mechanisms involved in drug targeting, nano carriers and target interactions associated with particular diseases. The book addresses how phytotherapeutics are effective against solid tumors and how they can be used in designing targeted delivery systems. Also addressed is the use of macrophages as the biomimetic carrier for targeting drugs to different organs. Sections cover the nanotechnology-based concepts in drug targeting, strategies for drug targeting, ways to identify drug carrier-target interaction, the concept of an artificial neural network in identifying drug-target interaction, and more.The book's final section concentrates on the role of nanotechnology in medical diagnosis, throwing light on nanoscale sensors for the diagnosis of viruses in the bloodstream and biomarkers indicating various cancers. This is an important reference source for materials scientists and pharmaceutical scientists who want to understand how nanotechnology plays an important role in creating more efficient drug targeting and delivery systems. - Provides extensive coverage of methods of drug-carrier-target identification and the capability of artificial intelligence to recognize patterns in patients using these patterns for nanocarrier design - Helps readers understand how nanocarriers must be functionalized for effective targeted delivery and how they can be useful tools for personalized and precise treatment of diseases - Assesses the role of nanoscale sensors in the early detection of cancer cells in the bloodstream

Download or read book Computational Biology in Drug Discovery and Repurposing written by Rajani Sharma and published by CRC Press. This book was released on 2024-08-16 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new book takes an in-depth look at the emerging and prospective field of computational biology and bioinformatics, which possesses the ability to analyze large accumulated biological data collected from sequence analysis of proteins and genes and cell population with an aim to make new predictions pertaining to drug discovery and new biology. The book explains the basic methodology associated with a bioinformatics and computational approach in drug designing. It then goes on to cover the implementation of computational programming, bioinformatics, pharmacophore modeling, biotechnological techniques, and pharmaceutical chemistry in designing drugs. The major advantage of intervention of computer language or programming is to cut down the number of steps and costs in the field of drug designing, reducing the repeating steps and saving time in screening the potent component for drug or vaccine designing. The book describes algorithms used for drug designing and the use of machine learning and AI in drug delivery and disease diagnosis, which are valuable in clinical decision-making. The implementation of robotics in different diseases like stroke, cancer, COVID-19, etc. is also addressed. Topics include machine learning, AI, databases in drug design, molecular docking, bioinformatics tools, target-based drug design, and immunoinformatics, chemoinformatics, and nanoinformatics in drug design. Drug repurposing in drug design in general as well as for specific diseases, including cancer, Alzheimer’s disease, tuberculosis, COVID-19, etc., is also addressed in depth.

Download or read book Computer Aided Applications in Pharmaceutical Technology written by Jelena Duris and published by Elsevier. This book was released on 2023-09-07 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer-Aided Applications in Pharmaceutical Technology: Delivery Systems, Dosage Forms, and Pharmaceutical Unit Operations, Second Edition covers the fundamentals of experimental design application and interpretation in pharmaceutical technology, chemometric methods with an emphasis on their applications in process control, neural computing, data science, computer-aided biopharmaceutical characterization, as well as the application of computational fluid dynamics in pharmaceutical technology. Completely updated, the book introduces the theory and practice of computational tools through new case studies. Chapters cover Quality by Design in pharmaceutical development, overview data mining methodologies, present computer-aided formulation development, cover experimental design applications, and much more. - Presents a comprehensive review of the current state of the art on various computer-aided applications in pharmaceutical technology - Includes case studies to facilitate understanding of various concepts in computer-aided applications - Covers applications such as the development of dosage forms and/or delivery systems, pharmaceutical unit operations, and relevant physiologically based pharmacokinetic simulations

Download or read book Ionically Gelled Biopolysaccharide Based Systems in Drug Delivery written by Amit Kumar Nayak and published by Springer Nature. This book was released on 2021-07-05 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a thorough insight into the chemistry and mechanism of ionic gelations of various ionic biopolysaccharides, like alginate, gellan gum, pectin, chitosan, carboxymethyl cellulose, etc., and the applications of various ionically gelled biopolysaccharides in drug delivery fields, with chapters emphasizing the recent advances in the field by the experts. This book will be of interest to graduate students and academic and industry researchers from pharmacy, biotechnology, bioengineering, biomedical and material sciences fields.

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Download or read book Current Trends in Computational Modeling for Drug Discovery written by Supratik Kar and published by Springer Nature. This book was released on 2023-06-30 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume offers a comprehensive discussion on how to design and discover pharmaceuticals using computational modeling techniques. The different chapters deal with the classical and most advanced techniques, theories, protocols, databases, and tools employed in computer-aided drug design (CADD) covering diverse therapeutic classes. Multiple components of Structure-Based Drug Discovery (SBDD) along with its workflow and associated challenges are presented while potential leads for Alzheimer’s disease (AD), antiviral agents, anti-human immunodeficiency virus (HIV) drugs, and leads for Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV) disease are discussed in detail. Computational toxicological aspects in drug design and discovery, screening adverse effects, and existing or future in silico tools are highlighted, while a novel in silico tool, RASAR, which can be a major technique for small to big datasets when not much experimental data are present, is presented. The book also introduces the reader to the major drug databases covering drug molecules, chemicals, therapeutic targets, metabolomics, and peptides, which are great resources for drug discovery employing drug repurposing, high throughput, and virtual screening. This volume is a great tool for graduates, researchers, academics, and industrial scientists working in the fields of cheminformatics, bioinformatics, computational biology, and chemistry.