Quantitative Models in Life Science Business
From Value Creation to Business Processes
(Sprache: Englisch)
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...
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Klappentext zu „Quantitative Models in Life Science Business “
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.
Inhaltsverzeichnis zu „Quantitative Models in Life Science Business “
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 Di erential 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 Di erential Equations in Healthcare.- Chapter 7. Point Processes with Mixed Doubly Stochastic Poisson and Self-Exciting Flavors: An Excursion Into DALY Computations.
Autoren-Porträt
Jung Kyu Canci is a senior lecturer and researcher at the University of Basel and at the Lucerne University of Applied Sciences and Arts in Lucerne, Switzerland. His research is in pure mathematics, number theory, with particular interests in arithmetic of dynamical systems, and in applied mathematics, especially stochastic processes in finance. He is the founder of several companies.Philipp Mekler is trained in both biochemistry and mathematics; he has 40+ years of experience in the Pharma/Life Science sector in R&D, sales/marketing, business analysis and bio-business finance/venture capital in CH/US/IL. Currently, he is working as a strategic advisor at the Roche Pharma International Data and Analytics chapter in Basel, Switzerland.
Gang Mu is a visiting research scholar at the University of Zurich, Switzerland and former head of Artificial Intelligence for partnership at Roche, Basel. He holds a Ph.D. degree in mathematics and has comprehensive experience in connecting mathematics, health care and technology, driving impacts and outcomes for patients and healthcare systems. He is the founder of Swiss Network for Mathematics in Industry.
Bibliographische Angaben
- 2022, 1st ed. 2023, IX, 127 Seiten, 13 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Jung Kyu Canci, Philipp Mekler, Gang Mu
- Verlag: Springer, Berlin
- ISBN-10: 3031118138
- ISBN-13: 9783031118135
Sprache:
Englisch
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