Quantitative Models in Life Science Business
From Value Creation to Business Processes
Published on 17. November 2022
Book
Paperback/Softback
IX, 127 pages
978-3-031-11813-5 (ISBN)
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.
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
12 s/w Abbildungen, 13 farbige Abbildungen
IX, 127 p. 25 illus., 13 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 8 mm
Weight
224 gr
ISBN-13
978-3-031-11813-5 (9783031118135)
DOI
10.1007/978-3-031-11814-2
Schweitzer Classification
Persons
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.
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.
Content
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 Speci?c 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.