Attrition is a major contributor to the cost of new drug development. Therefore, the ability to predict drug approval could improve R&D; efficiency. The success of drug development programs is governed both by scientific factors and by “external” factors, such as intellectual property, company characteristics, and economics. Incorporating these external factors into predictions of drug approval could help to improve decision-making. We postulated that patents might represent a particularly under-used information source in this context. However, in reviewing the academic patent literature, it was apparent that improvements in the quality of available evidence were needed before patent landscapes, a common form of patent analysis, could b...
Abstract: It is evident from reviewing scientific literature that the quality of argumentation in so...
Abstract: Current patent systems face a serious problem of declining quality of patents as the large...
My dissertation explores the interactions between the various agents in the pharma-ceutical industry...
Attrition is a major contributor to the cost of new drug development. Therefore, the ability to pred...
This thesis intends to predict outcomes from the drug discovery process. These predictions are then ...
Despite the importance of patent landscape analyses in the commercialization process for life scienc...
Drug development productivity has been declining lately due to elevated costs and reduced discovery ...
Technological forecasting based on patents in the pharmaceutical field appears to be feasible by cor...
In this paper, we build a cumulative innovation model to understand the role of both success and fai...
Therapeutic monoclonal antibodies (mAbs) market is strongly contributing to the rising growth of the...
[[abstract]]The purpose of this study is to develop a simple and robust model for predicting citatio...
Therapeutic monoclonal antibodies (mAbs) market is strongly contributing to the rising growth of the...
This paper aims at characterizing the dynamics of R&D competition within the pharmaceutical domain, ...
Pharmaceutical firms are extremely selective in deciding which patented drug candidates are taken up...
Pharmaceutical firms typically enjoy market exclusivity for new drugs from concurrent protection of t...
Abstract: It is evident from reviewing scientific literature that the quality of argumentation in so...
Abstract: Current patent systems face a serious problem of declining quality of patents as the large...
My dissertation explores the interactions between the various agents in the pharma-ceutical industry...
Attrition is a major contributor to the cost of new drug development. Therefore, the ability to pred...
This thesis intends to predict outcomes from the drug discovery process. These predictions are then ...
Despite the importance of patent landscape analyses in the commercialization process for life scienc...
Drug development productivity has been declining lately due to elevated costs and reduced discovery ...
Technological forecasting based on patents in the pharmaceutical field appears to be feasible by cor...
In this paper, we build a cumulative innovation model to understand the role of both success and fai...
Therapeutic monoclonal antibodies (mAbs) market is strongly contributing to the rising growth of the...
[[abstract]]The purpose of this study is to develop a simple and robust model for predicting citatio...
Therapeutic monoclonal antibodies (mAbs) market is strongly contributing to the rising growth of the...
This paper aims at characterizing the dynamics of R&D competition within the pharmaceutical domain, ...
Pharmaceutical firms are extremely selective in deciding which patented drug candidates are taken up...
Pharmaceutical firms typically enjoy market exclusivity for new drugs from concurrent protection of t...
Abstract: It is evident from reviewing scientific literature that the quality of argumentation in so...
Abstract: Current patent systems face a serious problem of declining quality of patents as the large...
My dissertation explores the interactions between the various agents in the pharma-ceutical industry...