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Full Description
This open access book explores the field of life science business from a multidisciplinary perspective. Applying statistical, mathematical, game-theoretic, and data science tools to pharmaceutical and biotechnology business endeavors, the book describes value creation, value maintenance, and value realization in the life sciences as a sequence of processes using the quantitative language of applied mathematics. Written by experts from a variety of fields, the contributions illustrate the shift from a deterministic to a stochastic view of the processes involved, offering a new perspective on life sciences economics.
The book covers topics such as valuing and managing intellectual property in life science, licensing in the pharmaceutical business, outsourcing pharmaceutical R&D, and stochastic modelling of a pharmaceutical supply chain. The book will appeal to scholars of economics and the life sciences, as well as to professionals in chemical and pharmaceutical industries.
Contents
Part I. Value Creation and Managing Intellectual Property in the Life Science Industry.- Chapter 1. Value Creation, Valuation and Business Models in the Pharmaceutical Sector.- Chapter 2. Alternative Licensing Strategies: A Piecewise Deterministic Differential Game.- Chapter 3. Partnership Models for R&D in the Pharmaceutical Industry.- Part II. Modelling Specific Business Processes in the Life Science Industry.- Chapter 4. Pharma Tender Processes: Modelling Auction Outcomes.- Chapter 5. Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning.- Part III. Specialized Quantitative Tools in the Life Science Industry.- Chapter 6. Stochastic Differential Equations in Healthcare.- Chapter 7. Point Processes with Mixed Doubly Stochastic Poisson and Self-Exciting Flavors: An Excursion Into DALY Computations.
