A Practical Handbook of Life Sciences


Book Description

Aimed at both undergraduate and postgraduate students, this practical handbook is the result of cooperative effort and is designed to meet the present needs of students. Clear and concise, it is prepared in accordance with the latest syllabi and guidelines, and explores the instruments, glassware, and plastic wares that are handled during experimental procedures and related information concerning calculations required to prepare chemical reagents and media.




A Practical Philosophy for the Life Sciences


Book Description

This book integrates philosophy of biology and philosophy of medicine with the purpose of making philosophy practical for students and scientists. It contains many exercises and examples from live science. Much attention is given to the translation of scientific reasoning into the language of philosophy. The author shows that philosophical models can be used to evaluate science, if the limitations of the models are recognized so they can be applied in the proper context. On the other hand, some philosophical views of science need to be corrected by science. The book puts philosophy and science in a broader perspective. It integrates practical philosophy and ethics in applications to live science and uncovers limitations of current ethical theory.




Handbook of Life Sciences


Book Description







Valuation in Life Sciences


Book Description

This book is the first complete guide to valuation in life sciences for industry professionals, investors, and academics. It introduces the characteristics of drug and medical device development, explains how to translate these into the valuation, and provides valuable industry data. Special emphasis is put on the practicability of the proposed methods by including many hands-on examples, without compromising on realistic results.




Practical Guide to Life Science Databases


Book Description

This book provides the latest information of life science databases that center in the life science research and drive the development of the field. It introduces the fundamental principles, rationales and methodologies of creating and updating life science databases. The book brings together expertise and renowned researchers in the field of life science databases and brings their experience and tools at the fingertips of the researcher. The book takes bottom-up approach to explain the structure, content and the usability of life science database. Detailed explanation of the content, structure, query and data retrieval are discussed to provide practical use of life science database and to enable the reader to use database and provided tools in practice. The readers will learn the necessary knowledge about the untapped opportunities available in life science databases and how it could be used so as to advance basic research and applied research findings and transforming them to the benefit of human life. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.




Valuation in Life Sciences


Book Description

Valuation is a hot topic among life sciences professionals. There is no clear understanding on how to use the different valuation approaches and how to determine input parameters. Some do not value at all, arguing that it is not possible to get realistic and objective numbers out of it. Some claim it to be an art. In the following chapters we will provide the user with a concise val- tion manual, providing transparency and practical insight for all dealing with valuation in life sciences: project and portfolio managers, licensing executives, business developers, technology transfer managers, entrep- neurs, investors, and analysts. The purpose of the book is to explain how to apply discounted cash flow and real options valuation to life sciences p- jects, i.e. to license contracts, patents, and firms. We explain the fun- mentals and the pitfalls with case studies so that the reader is capable of performing the valuations on his own and repeat the theory in the exercises and case studies. The book is structured in five parts: In the first part, the introduction, we discuss the role of the players in the life sciences industry and their p- ticular interests. We describe why valuation is important to them, where they need it, and the current problems to it. The second part deals with the input parameters required for valuation in life sciences, i.e. success rates, costs, peak sales, and timelines.




Practical Handbook on the 3Rs in the Context of the Directive 2010/63/EU


Book Description

Practical Handbook on the 3Rs in the Context of the Directive 2010/63/EU provides updated information on the EU Directive 2010/63/EU, which is the European Union legislation that protects animals being used in research. EU Directive 2010/63/EU is the European Union (EU) legislation 'on the protection of animals used for scientific purposes' and is one of the most stringent ethical and welfare standards worldwide. - Closes a gap in scientific literature by addressing the need for clear guidance in walking through the multifaced universe of 3Rs - Offers a useful starting point for readers and scientist who approach the 3Rs for the first-time - Gives insights into the harmonization of the animal research legislation across countries




The Complete Idiot's Guide to Life Science


Book Description

Explains the basic concepts behind the life sciences, including information about the plant and animal kingdoms, zoology, botany, and has chapters on evolution, genetics, genetic engineering, ecology, and the future.




Deep Learning for the Life Sciences


Book Description

Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working