Artificial Neural Network For Drug Design Delivery And Disposition

Author : Munish Puri,Yashwant Pathak,Vijay Kumar Sutariya,Srinivas Tipparaju,Wilfrido Moreno
Publisher : Academic Press
Page : 440 pages
File Size : 51,8 Mb
Release : 2015-10-15
Category : Medical
ISBN : 9780128017449

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Artificial Neural Network for Drug Design, Delivery and Disposition by Munish Puri,Yashwant Pathak,Vijay Kumar Sutariya,Srinivas Tipparaju,Wilfrido Moreno Pdf

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

Author : Anil K. Philip,Aliasgar Shahiwala,Mamoon Rashid,Md Faiyazuddin
Publisher : Academic Press
Page : 644 pages
File Size : 51,9 Mb
Release : 2023-03-27
Category : Computers
ISBN : 9780323903738

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A Handbook of Artificial Intelligence in Drug Delivery by Anil K. Philip,Aliasgar Shahiwala,Mamoon Rashid,Md Faiyazuddin Pdf

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

Author : James Devillers
Publisher : Academic Press
Page : 284 pages
File Size : 54,8 Mb
Release : 1996-08-09
Category : Science
ISBN : 0080537383

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Neural Networks in QSAR and Drug Design by James Devillers Pdf

Comprehensive and impeccably edited, Neural Networks in QSAR and Drug Design is the first book to present an all-inclusive coverage of the topic. The book provides a practice-oriented introduction to the different neural network paradigms, allowing the reader to easily understand and reproduce the results demonstrated. Numerous examples are detailed, demonstrating a variety of applications to QSAR and drug design. The contributors include some of the most distinguished names in the field, and the book provides an exhaustive bibliography, guiding readers to all the literature related to a particular type of application or neural network paradigm. The extensive index acts as a guide to the book, and makes retrieving information from chapters an easy task. A further research aid is a list of software with indications of availablility and price, as well as the editors scale rating the ease of use and interest/price ratio of each software package. The presentation of new, powerful tools for modeling molecular properties and the inclusion of many important neural network paradigms, coupled with extensive reference aids, makes Neural Networks in QSAR and Drug Design an essential reference source for those on the frontiers of this field. Presents the first coverage of neural networks in QSAR and Drug Design Allows easy understanding and reproduction of the results described within Includes an exhaustive bibliography with more than 200 references Provides a list of applicable software packages with availability and price

Author : Inamuddin,Tariq Altalhi,Jorddy Neves Cruz,Moamen Salah El-Deen Refat
Publisher : John Wiley & Sons
Page : 388 pages
File Size : 53,8 Mb
Release : 2022-10-04
Category : Medical
ISBN : 9781394167234

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Drug Design using Machine Learning by Inamuddin,Tariq Altalhi,Jorddy Neves Cruz,Moamen Salah El-Deen Refat Pdf

DRUG DESIGN USING MACHINE LEARNING The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field. The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments. This excellent overview Provides a broad synopsis of machine learning and artificial intelligence applications to the advancement of drugs; Details the use of molecular recognition for drug development through various mathematical models; Highlights classical as well as machine learning-based approaches to study target-drug interactions in the field of drug discovery; Explores computer-aided technics for prediction of drug effectiveness and toxicity. Audience The book will be useful for information technology professionals, pharmaceutical industry workers, engineers, university researchers, medical practitioners, and laboratory workers who have a keen interest in the area of machine learning and artificial intelligence approaches applied to drug advancements.

Author : Seth Kwabena Amponsah,Yashwant V. Pathak
Publisher : Springer Nature
Page : 384 pages
File Size : 50,7 Mb
Release : 2022-10-25
Category : Medical
ISBN : 9783031123986

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Recent Advances in Therapeutic Drug Monitoring and Clinical Toxicology by Seth Kwabena Amponsah,Yashwant V. Pathak Pdf

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

Author : Dimitrios A. Lamprou
Publisher : MDPI
Page : 436 pages
File Size : 40,9 Mb
Release : 2020-07-01
Category : Medical
ISBN : 9783039364237

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3D Printing of Pharmaceuticals and Drug Delivery Devices by Dimitrios A. Lamprou Pdf

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.

Author : Marianna Torok
Publisher : Elsevier
Page : 568 pages
File Size : 54,9 Mb
Release : 2022-08-26
Category : Medical
ISBN : 9780128232712

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Contemporary Chemical Approaches for Green and Sustainable Drugs by Marianna Torok Pdf

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

Author : Jayachandran Venkatesan,Se-Kwon Kim,Sukumaran Anil,Rekha P. D
Publisher : Elsevier
Page : 692 pages
File Size : 55,9 Mb
Release : 2022-01-11
Category : Technology & Engineering
ISBN : 9780128223567

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Polysaccharide Nanoparticles by Jayachandran Venkatesan,Se-Kwon Kim,Sukumaran Anil,Rekha P. D Pdf

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

Author : T. Poongodi,D. Sumathi,B. Balamurugan,K. S. Savita
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 49,5 Mb
Release : 2022-07-06
Category : Computers
ISBN : 9781119792710

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Digitization of Healthcare Data using Blockchain by T. Poongodi,D. Sumathi,B. Balamurugan,K. S. Savita Pdf

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.

Author : Mullaicharam Bhupathyraaj,K. Reeta Vijaya Rani,Musthafa Mohamed Essa
Publisher : CRC Press
Page : 265 pages
File Size : 44,5 Mb
Release : 2023-11-23
Category : Medical
ISBN : 9781000994599

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Artificial intelligence in Pharmaceutical Sciences by Mullaicharam Bhupathyraaj,K. Reeta Vijaya Rani,Musthafa Mohamed Essa Pdf

This cutting-edge reference book discusses the intervention of artificial intelligence in the fields of drug development, modified drug delivery systems, pharmaceutical technology, and medical devices development. This comprehensive book includes an overview of artificial intelligence in pharmaceutical sciences and applications in the drug discovery and development process. It discusses the role of machine learning in the automated detection and sorting of pharmaceutical formulations. It covers nanosafety and the role of artificial intelligence in predicting potential adverse biological effects. FEATURES Includes lucid, step-by-step instructions to apply artificial intelligence and machine learning in pharmaceutical sciences Explores the application of artificial intelligence in nanosafety and prediction of potential hazards Covers application of artificial intelligence in drug discovery and drug development Reviews the role of artificial intelligence in assessment of pharmaceutical formulations Provides artificial intelligence solutions for experts in the pharmaceutical and medical devices industries This book is meant for academicians, students, and industry experts in pharmaceutical sciences, medicine, and pharmacology.

Author : James Devillers,Harcourt Brace & Company (1993-1999).
Publisher : Unknown
Page : 128 pages
File Size : 50,5 Mb
Release : 2021
Category : Electronic
ISBN : 0123884594

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Neural Networks in QSAR and Drug Design by James Devillers,Harcourt Brace & Company (1993-1999). Pdf

Author : Himani Bansal,Balamurugan Balusamy,T. Poongodi,Firoz Khan KP
Publisher : CRC Press
Page : 275 pages
File Size : 46,8 Mb
Release : 2021-06-30
Category : Technology & Engineering
ISBN : 9781000406191

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Machine Learning and Analytics in Healthcare Systems by Himani Bansal,Balamurugan Balusamy,T. Poongodi,Firoz Khan KP Pdf

Bridges the gap between engineering and medicine in combining the design and problem solving skills of engineering with health sciences Explores real-world case studies in machine learning and healthcare analytics Presents a detailed exploration of applications of machine learning in healthcare systems Provides readers with how the industry avoids some of the consequences of old methods of data sharing strategies Offers readers multiple perspectives on a variety of disciplines

Author : Mahendra Rai,Shagufta Khan,Aarti Belgamwar
Publisher : Elsevier
Page : 470 pages
File Size : 45,9 Mb
Release : 2023-07-26
Category : Science
ISBN : 9780323983488

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Nanotechnology Principles in Drug Targeting and Diagnosis by Mahendra Rai,Shagufta Khan,Aarti Belgamwar Pdf

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

Author : Rajani Sharma,A. V. Senthil Kumar,Kunal Kumar
Publisher : CRC Press
Page : 478 pages
File Size : 47,5 Mb
Release : 2024-08-16
Category : Medical
ISBN : 9781000988703

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Computational Biology in Drug Discovery and Repurposing by Rajani Sharma,A. V. Senthil Kumar,Kunal Kumar Pdf

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.

Author : Amit Kumar Nayak,Md Saquib Hasnain,Dilipkumar Pal
Publisher : Springer Nature
Page : 191 pages
File Size : 54,7 Mb
Release : 2021-07-05
Category : Technology & Engineering
ISBN : 9789811622717

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Ionically Gelled Biopolysaccharide Based Systems in Drug Delivery by Amit Kumar Nayak,Md Saquib Hasnain,Dilipkumar Pal Pdf

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.