Cover Image

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

Bibliographic Details
Main Author: Canci, Jung Kyu.
Other Authors: Mekler, Philipp., Mu, Gang.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2022.
Edition:1st ed.
Series:SpringerBriefs in Economics Series
Subjects:
Electronic books.
Online Access:Click to View
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.

Similar Items