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Artificial Neural Network for Drug Design, Delivery and Disposition

Author: Munish Puri

Publisher: Academic Press

Published: 2015-10-15

Total Pages: 442

ISBN-13: 0128017449

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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

Book Synopsis Artificial Neural Network for Drug Design, Delivery and Disposition by : Munish Puri

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

Drug Design using Machine Learning

Author: Inamuddin

Publisher: John Wiley & Sons

Published: 2022-10-04

Total Pages: 388

ISBN-13: 1394167237

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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.

Book Synopsis Drug Design using Machine Learning by : Inamuddin

Download or read book Drug Design using Machine Learning written by Inamuddin and published by John Wiley & Sons. This book was released on 2022-10-04 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neural Networks in QSAR and Drug Design

Author: James Devillers

Publisher:

Published: 2021

Total Pages:

ISBN-13: 9780123884596

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Book Synopsis Neural Networks in QSAR and Drug Design by : James Devillers

Download or read book Neural Networks in QSAR and Drug Design written by James Devillers and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Handbook of Artificial Intelligence in Drug Delivery

Author: Anil K. Philip

Publisher: Academic Press

Published: 2023-03-27

Total Pages: 644

ISBN-13: 0323903738

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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

Book Synopsis A Handbook of Artificial Intelligence in Drug Delivery by : Anil K. Philip

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

Recent Advances in Therapeutic Drug Monitoring and Clinical Toxicology

Author: Seth Kwabena Amponsah

Publisher: Springer Nature

Published: 2022-10-25

Total Pages: 384

ISBN-13: 3031123980

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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

Book Synopsis Recent Advances in Therapeutic Drug Monitoring and Clinical Toxicology by : Seth Kwabena Amponsah

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

3D Printing of Pharmaceuticals and Drug Delivery Devices

Author: Dimitrios A. Lamprou

Publisher: MDPI

Published: 2020-07-01

Total Pages: 436

ISBN-13: 3039364235

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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.

Book Synopsis 3D Printing of Pharmaceuticals and Drug Delivery Devices by : Dimitrios A. Lamprou

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.

Principles of Research Methodology and Ethics in Pharmaceutical Sciences

Author: Vikas Anand Saharan

Publisher: CRC Press

Published: 2024-08-30

Total Pages: 519

ISBN-13: 1040101658

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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.

Book Synopsis Principles of Research Methodology and Ethics in Pharmaceutical Sciences by : Vikas Anand Saharan

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.

Contemporary Chemical Approaches for Green and Sustainable Drugs

Author: Marianna Torok

Publisher: Elsevier

Published: 2022-08-26

Total Pages: 568

ISBN-13: 0128232714

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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

Book Synopsis Contemporary Chemical Approaches for Green and Sustainable Drugs by : Marianna Torok

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

Polysaccharide Nanoparticles

Author: Jayachandran Venkatesan

Publisher: Elsevier

Published: 2022-01-11

Total Pages: 692

ISBN-13: 0128223561

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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

Book Synopsis Polysaccharide Nanoparticles by : Jayachandran Venkatesan

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

Digitization of Healthcare Data using Blockchain

Author: T. Poongodi

Publisher: John Wiley & Sons

Published: 2022-07-06

Total Pages: 324

ISBN-13: 1119792711

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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.

Book Synopsis Digitization of Healthcare Data using Blockchain by : T. Poongodi

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.