Quantitative Models in Life Science Business : : From Value Creation to Business Processes.

• Superior document: SpringerBriefs in Economics Series
• Author: Canci, Jung Kyu.
• TeilnehmendeR: Mekler, Philipp.; Mu, Gang.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2022.; ©2023.
• Year of Publication: 2022
• Edition: 1st ed.
• Language: English
• Series: SpringerBriefs in Economics Series
• Physical Description: 1 online resource (131 pages)

Table of 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&amp
• D in the Pharmaceutical Industry
• 1 Introduction
• 2 The Problem of R&amp
• D Efficiency of Pharmaceutical Companies
• 2.1 Eroom's Law
• 2.2 Analysis of R&amp
• D Costs in the Pharmaceutical Sector
• 2.3 Analysis of Pipeline Drugs
• 3 New R&amp
• D Open Innovation Models for Pharmaceutical Companies
• 3.1 Mergers and Acquisitions
• 3.2 In-licensing Agreements
• 3.3 Outsourcing R&amp
• D Processes from CROs
• 3.4 R&amp
• 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.