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Quantitative Models in Life Science Business

From Value Creation to Business Processes

  • Book
  • Open Access
  • © 2023

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Overview

Editors:
  1. Jung Kyu Canci

    1. Lucerne University of Applied Sciences and Arts, Horw, Switzerland

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    You can also search for this editor in PubMed   Google Scholar

  2. Philipp Mekler

    1. Roche (Switzerland), Kaiseraugst, Switzerland

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    You can also search for this editor in PubMed   Google Scholar

  3. Gang Mu

    1. University of Zurich, Zurich, Switzerland

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  • This book is open access, which means that you have free and unlimited access
  • Provides an overview of valuing and managing intellectual property in life science
  • Models the effects of compulsory licensing in the pharmaceutical business

Part of the book series: SpringerBriefs in Economics (BRIEFSECONOMICS)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-ix
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  2. Value Creation and Managing Intellectual Property in the Life Science Industry

    1. Front Matter

      Pages 1-1
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    2. Value Creation, Valuation and Business Models in the Pharmaceutical Sector

      • Michael Blankenagel, Jung Kyu Canci, Philipp Mekler
      Pages 3-16Open Access
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    3. Limited Commercial Licensing Strategies: A Piecewise Deterministic Differential Game

      • Domenico De Giovanni, Jung Kyu Canci
      Pages 17-28Open Access
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    4. Partnership Models for R &D in the Pharmaceutical Industry

      • Gianpaolo Iazzolino, Rita Bozzo
      Pages 29-48Open Access
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  3. Modelling Specific Business Processes in the Life Science Industry

    1. Front Matter

      Pages 49-49
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    2. Pharma Tender Processes: Modeling Auction Outcomes

      • Philipp Mekler, Jingshu Sun
      Pages 51-71Open Access
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    3. Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning

      • Patric Hammler, Nicolas Riesterer, Gang Mu, Torsten Braun
      Pages 73-93Open Access
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  4. Specialized Quantitative Tools in the Life Science Industry

    1. Front Matter

      Pages 95-95
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    2. An Invitation to Stochastic Differential Equations in Healthcare

      • Dimitri Breda, Jung Kyu Canci, Raffaele D’Ambrosio
      Pages 97-110Open Access
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    3. Life Events that Cascade: An Excursion into DALY Computations

      • Young Lee, Thanh Vinh Vo, Derek Ni, Gang Mu
      Pages 111-127Open Access
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Keywords

About this book

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. 




Editors and Affiliations

  • Lucerne University of Applied Sciences and Arts, Horw, Switzerland

    Jung Kyu Canci

  • Roche (Switzerland), Kaiseraugst, Switzerland

    Philipp Mekler

  • University of Zurich, Zurich, Switzerland

    Gang Mu

About the editors

​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.

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