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The Science and Business of Drug Discovery: Demystifying the Jargon, Zanders Edward D.


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Автор: Zanders Edward D.
Название:  The Science and Business of Drug Discovery: Demystifying the Jargon
ISBN: 9783030578169
Издательство: Springer
Классификация:



ISBN-10: 303057816X
Обложка/Формат: Paperback
Страницы: 422
Вес: 0.59 кг.
Дата издания: 24.11.2021
Язык: English
Издание: 2nd ed. 2020
Иллюстрации: 50 tables, color; 20 illustrations, color; 82 illustrations, black and white; xvii, 402 p. 102 illus., 20 illus. in color.
Размер: 23.39 x 15.60 x 2.18 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Demystifying the jargon
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Dedication

Acknowledgements

Preface

1 Introduction

Part I

How drugs are discovered and developed in the pharmaceutical industry

2 Introduction to drugs and drug targets

3 Background to chemistry of small and large molecules

4 Laying the foundations- Drug discovery from antiquity to the twenty first century

Part II

The drug development pipeline - discovery to testing in humans

5 Drug discovery pipeline overview

6 Target discovery

7 Medicinal chemistry

8 Biotherapeutics

9 Screening for hits

10 Process chemistry and formulation

11 Preclinical development

Part III

The drug development pipeline - clinical trials to marketing authorisation

12 Clinical trials

13 Regulatory affairs and marketing approval

14 Diagnostics and personalized medicine

15 Putting it All Together: a drug development case history

Part IV

The Global Pharmaceuticals Business

16 Commercial aspects of drug development

17 Challenges and responses


Part V

Professional Interactions with the Drug Discovery Industry


18 Professional Interactions with the Drug Discovery Industry: Technology Transfer Executives

19 Recruitment Executives

20 Pharmaceutical translators and Interpreters

Appendix 1 Further Reading

Appendix 2 Glossary of terms



Demystifying Drug Dosing in Renal Dysfunction

Автор: Branden D. Nemecek, Drayton A. Hammond
Название: Demystifying Drug Dosing in Renal Dysfunction
ISBN: 158528551X ISBN-13(EAN): 9781585285518
Издательство: Mare Nostrum (Eurospan)
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Цена: 57690.00 T
Наличие на складе: Невозможна поставка.
Описание: Chronic kidney disease affects approximately 30 million adults in the United States. Demystifying Drug Dosing in Renal Dysfunction supports your clinical decision process with guidance on dosage adjustments and monitoring in renal dysfunction for medications, subpopulations, and renal replacement modalities. This time-saving resource provides helpful tips and support for a range of clinical situations, including:AntiepilepticsCardiovascular DiseaseCo-morbidities associated with chronic kidney diseaseCritical illnessInfectious diseasesOncologyPain managementPediatricsPsychiatryTherapeutic plasma exchangeTransplantation

Demystifying Big Data, Machine Learning, And Deep Learning For Healthcare Analytics

Автор: Nijalingappa, Pradeep
Название: Demystifying Big Data, Machine Learning, And Deep Learning For Healthcare Analytics
ISBN: 0128216336 ISBN-13(EAN): 9780128216330
Издательство: Elsevier Science
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Цена: 147100.00 T
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Описание:

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians.



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