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Sinopsis
<P>THE DEVELOPMENT OF INNOVATIVE DRUGS IS BECOMING MORE DIFFICULT WHILE RELYING ON EMPIRICAL APPROACHES. THIS INSPIRED ALL MAJOR PHARMACEUTICAL COMPANIES TO PURSUE ALTERNATIVE MODEL-BASED PARADIGMS. THE KEY QUESTION IS: HOW TO FIND INNOVATIVE COMPOUNDS AND, SUBSEQUENTLY, APPROPRIATE DOSAGE REGIMENS? </P><P>WRITTEN FROM THE INDUSTRY PERSPECTIVE AND BASED ON MANY YEARS OF EXPERIENCE, THIS BOOK OFFERS:</P><P>- CONCEPTS FOR CREATION OF DRUG-DISEASE MODELS, INTRODUCED AND SUPPLEMENTED WITH EXTENSIVE MATLAB PROGRAMS</P><P>- GUIDANCE FOR EXPLORATION AND MODIFICATION OF THESE PROGRAMS TO ENHANCE THE UNDERSTANDING OF KEY PRINCIPLES</P><P>- USAGE OF DIFFERENTIAL EQUATIONS TO PHARMACOKINETIC, PHARMACODYNAMIC AND (PATHO-) PHYSIOLOGIC PROBLEMS THEREBY ACKNOWLEDGING THEIR DYNAMIC NATURE</P><P>- A RANGE OF TOPICS FROM SINGLE EXPONENTIAL DECAY TO ADAPTIVE DOSING, FROM SINGLE SUBJECT EXPLORATION TO CLINICAL TRIAL SIMULATION, AND FROM EMPIRICAL TO MECHANISTIC DISEASE MODELING.</P><P>STUDENTS WITH AN UNDERGRADUATE MATHEMATICAL BACKGROUND OR EQUIVALENT EDUCATION, INTEREST IN LIFE SCIENCES AND SKILLS IN A HIGH-LEVEL PROGRAMMING LANGUAGE SUCH AS MATLAB, ARE ENCOURAGED TO ENGAGE IN MODEL-BASED PHARMACEUTICAL RESEARCH AND DEVELOPMENT.</P>
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Reseña del editor
The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens?
Written from the industry perspective and based on many years of experience, this book offers:
- Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs
- Guidance for exploration and modification of these programs to enhance the understanding of key principles
- Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature
- A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling.
Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2013
- ISBN 10 3642397646
- ISBN 13 9783642397646
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas416
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Development Of Innovative Drugs Via Modeling With Matlab A Practical Guide (Hb 2014)
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Development of Innovative Drugs via Modeling with MATLAB : A Practical Guide
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Development of Innovative Drugs via Modeling with MATLAB
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Springer Berlin Heidelberg, 2013
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides concepts for the creation of drug-disease modelsWritten from the industry perspectiveBased on many years of experienceThe development of innovative drugs is becoming more difficult while relying on empirical approaches. . Nº de ref. del artículo: 5059417
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Development of Innovative Drugs via Modeling with MATLAB
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens Written from the industry perspective and based on many years of experience, this book offers:- Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs- Guidance for exploration and modification of these programs to enhance the understanding of key principles- Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature- A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling.Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development. 416 pp. Englisch. Nº de ref. del artículo: 9783642397646
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Development of Innovative Drugs via Modeling with MATLAB : A Practical Guide
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Springer Berlin Heidelberg, 2013
ISBN 10: 3642397646
ISBN 13: 9783642397646
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens Written from the industry perspective and based on many years of experience, this book offers:- Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs- Guidance for exploration and modification of these programs to enhance the understanding of key principles- Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature- A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling.Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development. Nº de ref. del artículo: 9783642397646
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