Artificial Intelligence in Drug Discovery

Artificial Intelligence in Drug Discovery
Author: Nathan Brown
Publisher: Royal Society of Chemistry
Total Pages: 425
Release: 2020-11-04
Genre: Computers
ISBN: 1839160543

Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry

The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry
Author: Stephanie K. Ashenden
Publisher: Academic Press
Total Pages: 266
Release: 2021-04-23
Genre: Computers
ISBN: 0128204494

The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient's life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics. - Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research - Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved - Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide

Oxford Handbook of Clinical Pharmacy

Oxford Handbook of Clinical Pharmacy
Author: Phil Wiffen
Publisher: Oxford University Press, USA
Total Pages: 696
Release: 2012-01-26
Genre: Medical
ISBN: 0199603642

This handbook is the definitive quick reference guide to clinical pharmacy, providing practising and student pharmacists with a wealth of practical information.

Clinical Pharmacy and Therapeutics

Clinical Pharmacy and Therapeutics
Author: Roger Walker (Ph. D.)
Publisher:
Total Pages: 956
Release: 2003
Genre: Medical
ISBN:

The new edition of this popular, well-established textbook addresses the expanding role of the pharmacist in treating patients. It covers treatment of common diseases as well as other medical, therapeutic and patient related issues. Written by both pharmacists and clinicians to reflect a team approach, it offers an in-depth analysis of drug therapy in the treatment of disease, relying on input from the pharmacist as a member of the "team" in hospital and community settings. Information is easy to locate in a logical format organized primarily by systems and disorders.

A Handbook of Artificial Intelligence in Drug Delivery

A Handbook of Artificial Intelligence in Drug Delivery
Author: Anil K. Philip
Publisher: Academic Press
Total Pages: 644
Release: 2023-03-27
Genre: Computers
ISBN: 0323903738

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

Managed Care Pharmacy Practice

Managed Care Pharmacy Practice
Author: Navarro
Publisher: Jones & Bartlett Publishers
Total Pages: 659
Release: 2008-12-11
Genre: Medical
ISBN: 076378883X

Managed Care Pharmacy Practice, Second Edition offers information critical to the development and operation of a managed care pharmacy program. The text also covers the changes that have taken place within the delivery of pharmacy services, as well as the evolving role of pharmacists.

Computation and Logic in the Real World

Computation and Logic in the Real World
Author: Barry S. Cooper
Publisher: Springer
Total Pages: 843
Release: 2007-07-25
Genre: Computers
ISBN: 354073001X

This book constitutes the refereed proceedings of the Third International Conference on Computability in Europe, CiE 2007, held in Sienna, Italy, in June 2007. The 50 revised full papers presented together with 36 invited papers were carefully reviewed and selected from 167 submissions.

Pharmacology Made Incredibly Easy!

Pharmacology Made Incredibly Easy!
Author: Lippincott Williams & Wilkins
Publisher: Lippincott Williams & Wilkins
Total Pages: 1190
Release: 2016-06-07
Genre: Medical
ISBN: 1496350472

Get all the basics on drug therapies—and administer drugs confidently and accurately—with the newly updated Pharmacology Made Incredibly Easy, 4th Edition. Written in the enjoyable, award-winning Incredibly Easy style, this easy-to-follow, fully illustrated guide offers step-by-step direction on the medication process, from assessing patient needs, to planning care, to implementation and positive outcomes. Strengthen your understanding of your class materials, get ready for the NCLEX® or certification exam, and administer drug therapies—safely and effectively! Build a strong platform of pharmacology knowledge and skills with. . . NEW and updated content on the newest approved medications and dosages and NEW tables listing: NEW vaccines and treatment for biological weapons exposure NEW treatment and antidotes for chemical weapons exposure NEW herbal drugs content NEW icons and images that clarify content Revised and updated content on the concepts of pharmacokinetics, pharmacodynamics, and pharmacotherapeutics Pharmacology basics – How drugs are derived, developed, classified, and administered; classes of drugs by body system; their uses and mechanisms “Nurse Joy” and “Nurse Jake” illustrated characters offering tips and insights throughout Quick-scan format with concise, bulleted content Hundreds of illustrations and diagrams explaining key concepts and providing clear direction on administering drugs; drug distribution, absorption, and metabolism; potential drug interactions; adverse reactions; how different classes of drugs work in different body systems Special chapter features: Just the facts – A quick summary of chapter content Advice from the experts – Experienced practitioners’ insights Prototype pro – Actions, indications, and nursing considerations for common prototype drugs Nursing process – Patient assessment, diagnosis, outcome goals, implementation, and evaluation for each type and class of drug Pharm function – Illustrating how drugs act in the body; recognizing and treating adverse reactions Before you give that drug – Warnings to consider before you administer a drug Education edge – Information to share with your patient Quick quiz – End-of-chapter questions with answers/explanations, to help you remember the essentials End-of-book multiple-choice Q&A; Quick Guides to Medication Safety, Ophthalmic and Dermatologic Drugs, and Abbreviations to Avoid; Glossary of essential pharmacology terms.

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare
Author: Mark Chang
Publisher: CRC Press
Total Pages: 235
Release: 2020-05-12
Genre: Business & Economics
ISBN: 1000767302

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.