Quantitative Models in Life Science Business : : From Value Creation to Business Processes.
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Place / Publishing House: | Cham : : Springer International Publishing AG,, 2022. ©2023. |
Year of Publication: | 2022 |
Edition: | 1st ed. |
Language: | English |
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Canci, Jung Kyu. Quantitative Models in Life Science Business : From Value Creation to Business Processes. 1st ed. Cham : Springer International Publishing AG, 2022. ©2023. 1 online resource (131 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier SpringerBriefs in Economics Series Intro -- Preface -- Acknowledgments -- Contents -- *-1pc Value Creation and Managing Intellectual Property in the Life Science Industry -- Value Creation, Valuation and Business Models in the Pharmaceutical Sector -- 1 Value Principles in the Pharmaceutical Industry -- 2 Value Creation in the Pharmaceutical Industry -- 3 `Keeping Focus': The Traditional Value Token -- 4 `Extending Horizons': Innovation-Integration Across the Value Chain -- 5 Value Protection: Intellectual Property in the Life Sciences -- 5.1 Patent Evaluation -- 6 Modelling the Patent Value as a Stochastic Process -- 6.1 The Patent Life Model -- 6.2 Viewing a Generic Case -- 6.3 Interferon Beta 1a: A Real-World Case -- 7 The Future of Value and Valuation in Pharma -- References -- Limited Commercial Licensing Strategies: A Piecewise Deterministic Differential Game -- 1 Limited Commercial Licenses in the Pharmaceutical Industry -- 1.1 Probability of Issuing a CL -- 2 A Differential Game of Limited Commercial Licensing -- 2.1 Preliminaries -- 2.2 Profits and Sales in Each Regime -- 2.3 Switching Between Stages -- 2.4 The Problem -- 3 Solving the Model -- 4 Perspective -- References -- Partnership Models for R& -- D in the Pharmaceutical Industry -- 1 Introduction -- 2 The Problem of R& -- D Efficiency of Pharmaceutical Companies -- 2.1 Eroom's Law -- 2.2 Analysis of R& -- D Costs in the Pharmaceutical Sector -- 2.3 Analysis of Pipeline Drugs -- 3 New R& -- D Open Innovation Models for Pharmaceutical Companies -- 3.1 Mergers and Acquisitions -- 3.2 In-licensing Agreements -- 3.3 Outsourcing R& -- D Processes from CROs -- 3.4 R& -- D Collaborations -- 3.5 Public-Private Partnerships -- 3.6 Crowdsourcing -- 3.7 Innovation Centers -- 3.8 Open Source -- References -- *-1pc Modelling Specific Business Processes in the Life Science Industry. Pharma Tender Processes: Modeling Auction Outcomes -- 1 Introduction -- 2 Pharmaceutical Tendering -- 2.1 Pharmaceutical Tendering Mechanism in Different Countries -- 2.2 Effect of Pharmaceutical Tendering -- 3 Tendering as Auction: Scope and Concept -- 3.1 Tender Versus Auction -- 3.2 Independent Private Value Auction -- 3.3 First Price Sealed Auction -- 3.4 Number of Bidders -- 4 Empirical Methods for Price Auction Estimation -- 4.1 Bidding Price Determinants Estimation with Reduced Form Approach -- 4.2 Structural Estimation of Auction Models -- 4.3 Quantile-Based Non-parametric Estimation of Private Value -- 5 Non-parametric Estimation on Observational Data -- 5.1 Dataset -- 5.2 Visualization and Descriptive Analysis -- 5.3 Assumptions Validation -- 5.4 Modeling and Estimation -- 5.5 Adjustments and Lessons Learned -- References -- Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning -- 1 Introduction -- 2 Challenges of Multi-Echelon Inventory Management from an Optimization Perspective -- 3 Literature Review of Inventory Management -- 4 Reinforcement Learning for Inventory Management -- 4.1 Markov (Decision) Processes -- 5 Introduction to Reinforcement Learning -- 5.1 Value-Based Methods -- 5.2 Policy-Based Methods -- 5.3 Actor-Critic Methods -- 6 Evaluation -- 7 Discussion of Results -- 8 Outlook -- 9 Conclusions -- 10 Acronyms -- References -- *-1pc Specialized Quantitative Tools in the Life Science Industry -- An Invitation to Stochastic Differential Equations in Healthcare -- 1 Introduction -- 1.1 Brownian Motions -- 1.2 Ito's Integral and Solutions of Geometric Brownian Motions (GBM) -- 1.3 Existence of Solutions of Stochastic Differential Equations -- 2 Numerical Methods for SDEs -- 2.1 Euler-Maruyama Method -- 2.2 -Maruyama Methods -- 2.3 Stochastic Runge-Kutta Methods -- 3 A Numerical Evidence on PK/PD Models. References -- Life Events that Cascade: An Excursion into DALY Computations -- 1 Introduction -- 2 The Hawkes-Cox Framework -- 2.1 The Choice of Kernel and the Rôle of δ -- 3 Dynkin's Formula -- 4 Theoretical Moments -- 4.1 The Moments of Counts in an Interval -- 4.2 The Covariance -- 5 Learning and Optimization -- 6 Synthetic Experiments -- 6.1 Calibration -- 7 Disability Adjusted Life Years -- 8 Concluding Remarks -- References. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Electronic books. Mekler, Philipp. Mu, Gang. Print version: Canci, Jung Kyu Quantitative Models in Life Science Business Cham : Springer International Publishing AG,c2022 9783031118135 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7141534 Click to View |
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Canci, Jung Kyu. |
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Canci, Jung Kyu. Quantitative Models in Life Science Business : From Value Creation to Business Processes. SpringerBriefs in Economics Series Intro -- Preface -- Acknowledgments -- Contents -- *-1pc Value Creation and Managing Intellectual Property in the Life Science Industry -- Value Creation, Valuation and Business Models in the Pharmaceutical Sector -- 1 Value Principles in the Pharmaceutical Industry -- 2 Value Creation in the Pharmaceutical Industry -- 3 `Keeping Focus': The Traditional Value Token -- 4 `Extending Horizons': Innovation-Integration Across the Value Chain -- 5 Value Protection: Intellectual Property in the Life Sciences -- 5.1 Patent Evaluation -- 6 Modelling the Patent Value as a Stochastic Process -- 6.1 The Patent Life Model -- 6.2 Viewing a Generic Case -- 6.3 Interferon Beta 1a: A Real-World Case -- 7 The Future of Value and Valuation in Pharma -- References -- Limited Commercial Licensing Strategies: A Piecewise Deterministic Differential Game -- 1 Limited Commercial Licenses in the Pharmaceutical Industry -- 1.1 Probability of Issuing a CL -- 2 A Differential Game of Limited Commercial Licensing -- 2.1 Preliminaries -- 2.2 Profits and Sales in Each Regime -- 2.3 Switching Between Stages -- 2.4 The Problem -- 3 Solving the Model -- 4 Perspective -- References -- Partnership Models for R& -- D in the Pharmaceutical Industry -- 1 Introduction -- 2 The Problem of R& -- D Efficiency of Pharmaceutical Companies -- 2.1 Eroom's Law -- 2.2 Analysis of R& -- D Costs in the Pharmaceutical Sector -- 2.3 Analysis of Pipeline Drugs -- 3 New R& -- D Open Innovation Models for Pharmaceutical Companies -- 3.1 Mergers and Acquisitions -- 3.2 In-licensing Agreements -- 3.3 Outsourcing R& -- D Processes from CROs -- 3.4 R& -- D Collaborations -- 3.5 Public-Private Partnerships -- 3.6 Crowdsourcing -- 3.7 Innovation Centers -- 3.8 Open Source -- References -- *-1pc Modelling Specific Business Processes in the Life Science Industry. Pharma Tender Processes: Modeling Auction Outcomes -- 1 Introduction -- 2 Pharmaceutical Tendering -- 2.1 Pharmaceutical Tendering Mechanism in Different Countries -- 2.2 Effect of Pharmaceutical Tendering -- 3 Tendering as Auction: Scope and Concept -- 3.1 Tender Versus Auction -- 3.2 Independent Private Value Auction -- 3.3 First Price Sealed Auction -- 3.4 Number of Bidders -- 4 Empirical Methods for Price Auction Estimation -- 4.1 Bidding Price Determinants Estimation with Reduced Form Approach -- 4.2 Structural Estimation of Auction Models -- 4.3 Quantile-Based Non-parametric Estimation of Private Value -- 5 Non-parametric Estimation on Observational Data -- 5.1 Dataset -- 5.2 Visualization and Descriptive Analysis -- 5.3 Assumptions Validation -- 5.4 Modeling and Estimation -- 5.5 Adjustments and Lessons Learned -- References -- Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning -- 1 Introduction -- 2 Challenges of Multi-Echelon Inventory Management from an Optimization Perspective -- 3 Literature Review of Inventory Management -- 4 Reinforcement Learning for Inventory Management -- 4.1 Markov (Decision) Processes -- 5 Introduction to Reinforcement Learning -- 5.1 Value-Based Methods -- 5.2 Policy-Based Methods -- 5.3 Actor-Critic Methods -- 6 Evaluation -- 7 Discussion of Results -- 8 Outlook -- 9 Conclusions -- 10 Acronyms -- References -- *-1pc Specialized Quantitative Tools in the Life Science Industry -- An Invitation to Stochastic Differential Equations in Healthcare -- 1 Introduction -- 1.1 Brownian Motions -- 1.2 Ito's Integral and Solutions of Geometric Brownian Motions (GBM) -- 1.3 Existence of Solutions of Stochastic Differential Equations -- 2 Numerical Methods for SDEs -- 2.1 Euler-Maruyama Method -- 2.2 -Maruyama Methods -- 2.3 Stochastic Runge-Kutta Methods -- 3 A Numerical Evidence on PK/PD Models. References -- Life Events that Cascade: An Excursion into DALY Computations -- 1 Introduction -- 2 The Hawkes-Cox Framework -- 2.1 The Choice of Kernel and the Rôle of δ -- 3 Dynkin's Formula -- 4 Theoretical Moments -- 4.1 The Moments of Counts in an Interval -- 4.2 The Covariance -- 5 Learning and Optimization -- 6 Synthetic Experiments -- 6.1 Calibration -- 7 Disability Adjusted Life Years -- 8 Concluding Remarks -- References. |
author_facet |
Canci, Jung Kyu. Mekler, Philipp. Mu, Gang. |
author_variant |
j k c jk jkc |
author2 |
Mekler, Philipp. Mu, Gang. |
author2_variant |
p m pm g m gm |
author2_role |
TeilnehmendeR TeilnehmendeR |
author_sort |
Canci, Jung Kyu. |
title |
Quantitative Models in Life Science Business : From Value Creation to Business Processes. |
title_sub |
From Value Creation to Business Processes. |
title_full |
Quantitative Models in Life Science Business : From Value Creation to Business Processes. |
title_fullStr |
Quantitative Models in Life Science Business : From Value Creation to Business Processes. |
title_full_unstemmed |
Quantitative Models in Life Science Business : From Value Creation to Business Processes. |
title_auth |
Quantitative Models in Life Science Business : From Value Creation to Business Processes. |
title_new |
Quantitative Models in Life Science Business : |
title_sort |
quantitative models in life science business : from value creation to business processes. |
series |
SpringerBriefs in Economics Series |
series2 |
SpringerBriefs in Economics Series |
publisher |
Springer International Publishing AG, |
publishDate |
2022 |
physical |
1 online resource (131 pages) |
edition |
1st ed. |
contents |
Intro -- Preface -- Acknowledgments -- Contents -- *-1pc Value Creation and Managing Intellectual Property in the Life Science Industry -- Value Creation, Valuation and Business Models in the Pharmaceutical Sector -- 1 Value Principles in the Pharmaceutical Industry -- 2 Value Creation in the Pharmaceutical Industry -- 3 `Keeping Focus': The Traditional Value Token -- 4 `Extending Horizons': Innovation-Integration Across the Value Chain -- 5 Value Protection: Intellectual Property in the Life Sciences -- 5.1 Patent Evaluation -- 6 Modelling the Patent Value as a Stochastic Process -- 6.1 The Patent Life Model -- 6.2 Viewing a Generic Case -- 6.3 Interferon Beta 1a: A Real-World Case -- 7 The Future of Value and Valuation in Pharma -- References -- Limited Commercial Licensing Strategies: A Piecewise Deterministic Differential Game -- 1 Limited Commercial Licenses in the Pharmaceutical Industry -- 1.1 Probability of Issuing a CL -- 2 A Differential Game of Limited Commercial Licensing -- 2.1 Preliminaries -- 2.2 Profits and Sales in Each Regime -- 2.3 Switching Between Stages -- 2.4 The Problem -- 3 Solving the Model -- 4 Perspective -- References -- Partnership Models for R& -- D in the Pharmaceutical Industry -- 1 Introduction -- 2 The Problem of R& -- D Efficiency of Pharmaceutical Companies -- 2.1 Eroom's Law -- 2.2 Analysis of R& -- D Costs in the Pharmaceutical Sector -- 2.3 Analysis of Pipeline Drugs -- 3 New R& -- D Open Innovation Models for Pharmaceutical Companies -- 3.1 Mergers and Acquisitions -- 3.2 In-licensing Agreements -- 3.3 Outsourcing R& -- D Processes from CROs -- 3.4 R& -- D Collaborations -- 3.5 Public-Private Partnerships -- 3.6 Crowdsourcing -- 3.7 Innovation Centers -- 3.8 Open Source -- References -- *-1pc Modelling Specific Business Processes in the Life Science Industry. Pharma Tender Processes: Modeling Auction Outcomes -- 1 Introduction -- 2 Pharmaceutical Tendering -- 2.1 Pharmaceutical Tendering Mechanism in Different Countries -- 2.2 Effect of Pharmaceutical Tendering -- 3 Tendering as Auction: Scope and Concept -- 3.1 Tender Versus Auction -- 3.2 Independent Private Value Auction -- 3.3 First Price Sealed Auction -- 3.4 Number of Bidders -- 4 Empirical Methods for Price Auction Estimation -- 4.1 Bidding Price Determinants Estimation with Reduced Form Approach -- 4.2 Structural Estimation of Auction Models -- 4.3 Quantile-Based Non-parametric Estimation of Private Value -- 5 Non-parametric Estimation on Observational Data -- 5.1 Dataset -- 5.2 Visualization and Descriptive Analysis -- 5.3 Assumptions Validation -- 5.4 Modeling and Estimation -- 5.5 Adjustments and Lessons Learned -- References -- Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning -- 1 Introduction -- 2 Challenges of Multi-Echelon Inventory Management from an Optimization Perspective -- 3 Literature Review of Inventory Management -- 4 Reinforcement Learning for Inventory Management -- 4.1 Markov (Decision) Processes -- 5 Introduction to Reinforcement Learning -- 5.1 Value-Based Methods -- 5.2 Policy-Based Methods -- 5.3 Actor-Critic Methods -- 6 Evaluation -- 7 Discussion of Results -- 8 Outlook -- 9 Conclusions -- 10 Acronyms -- References -- *-1pc Specialized Quantitative Tools in the Life Science Industry -- An Invitation to Stochastic Differential Equations in Healthcare -- 1 Introduction -- 1.1 Brownian Motions -- 1.2 Ito's Integral and Solutions of Geometric Brownian Motions (GBM) -- 1.3 Existence of Solutions of Stochastic Differential Equations -- 2 Numerical Methods for SDEs -- 2.1 Euler-Maruyama Method -- 2.2 -Maruyama Methods -- 2.3 Stochastic Runge-Kutta Methods -- 3 A Numerical Evidence on PK/PD Models. References -- Life Events that Cascade: An Excursion into DALY Computations -- 1 Introduction -- 2 The Hawkes-Cox Framework -- 2.1 The Choice of Kernel and the Rôle of δ -- 3 Dynkin's Formula -- 4 Theoretical Moments -- 4.1 The Moments of Counts in an Interval -- 4.2 The Covariance -- 5 Learning and Optimization -- 6 Synthetic Experiments -- 6.1 Calibration -- 7 Disability Adjusted Life Years -- 8 Concluding Remarks -- References. |
isbn |
9783031118142 9783031118135 |
callnumber-first |
R - Medicine |
callnumber-subject |
RA - Public Medicine |
callnumber-label |
RA410-410 |
callnumber-sort |
RA 3410 3410.9 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7141534 |
illustrated |
Not Illustrated |
oclc_num |
1354208094 |
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Quantitative Models in Life Science Business : From Value Creation to Business Processes. |
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