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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Written from an industry perspective and based on many years of experience, this book offers concepts for the creation of drug-disease models, introduced and supplemented with extensive MATLAB programs.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783662521106
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Taschenbuch. Etat : Neu. Development of Innovative Drugs via Modeling with MATLAB | A Practical Guide | Daniel Serafin (u. a.) | Taschenbuch | xv | Englisch | 2016 | Springer Berlin | EAN 9783662521106 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 103411986
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Taschenbuch. Etat : Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 416 pp. Englisch. N° de réf. du vendeur 9783662521106
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Taschenbuch. Etat : 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. N° de réf. du vendeur 9783662521106
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