Ronald Gieschke; Daniel Serafin Development of Innovative Drugs via Modeling with MATLAB 9783662521106

Варианты приобретения

Цена: 144410.00T
Кол-во:
Наличие: Поставка под заказ. Есть в наличии на складе поставщика.
Склад Америка: 169 шт.
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину

в Мои желания

Автор: Ronald Gieschke; Daniel Serafin
Название: Development of Innovative Drugs via Modeling with MATLAB
ISBN: 9783662521106
Издательство: Springer
Классификация:

Фармакология

Биология и науки о жизни

Промышленная химия

Технологии производства фармацевтических препаратов

3D - графика и моделирование

Машинное моделирование и имитация

ISBN-10: 3662521105
Обложка/Формат: Paperback
Страницы: 399
Вес: 0.58 кг.
Дата издания: 27.08.2016
Язык: English
Издание: Softcover reprint of
Иллюстрации: 112 illustrations, color; 80 illustrations, black and white; xv, 399 p. 192 illus., 112 illus. in color.
Размер: 234 x 156 x 22
Читательская аудитория: Professional & vocational
Основная тема: Biomedicine
Подзаголовок: A Practical Guide
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.
Дополнительное описание: Background of pharmacologic modeling.- First example of a computational model.- Differential equations in MATLAB.- Pharmacologic modeling.- Drug-disease modeling.- Population analyses.- Clinical trial simulation.- Graphics-based modeling.- Outlook.- Appen

Development of Innovative Drugs via Modeling with MATLAB, Ronald Gieschke; Daniel Serafin