2022
DOI: 10.1002/cpt.2568
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Probability of Success in Drug Development

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Cited by 8 publications
(5 citation statements)
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“…Equation 2 conceptually recognizes that the regulation-innovation relationship is relatively weak relative to other factors influencing the medical product development lifecycle, such as risks to technical success [ 16 ], access to financing [ 17 ], and so on.…”
Section: Conceptual Model and Empirical Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Equation 2 conceptually recognizes that the regulation-innovation relationship is relatively weak relative to other factors influencing the medical product development lifecycle, such as risks to technical success [ 16 ], access to financing [ 17 ], and so on.…”
Section: Conceptual Model and Empirical Datamentioning
confidence: 99%
“…The key assumption of this model is that MPI would be proportional to a medical product regulatory (MPR) influence of an unknown degree (α), which would be time dependent as both the regulations and the subsequent interpretation and implementation by the firm would be serially correlated (with some unknown time lag); i.e., Equation 2 conceptually recognizes that the regulationinnovation relationship is relatively weak relative to other factors influencing the medical product development lifecycle, such as risks to technical success [16], access to financing [17], and so on.…”
Section: Conceptual Modelmentioning
confidence: 99%
“…In our May editorial, editor‐in‐chief Piet van der Graaf reviewed predicting success in industrial drug development 1 and pointed to Hampson’s 2 and Lalonde’s 3 thoughtful explorations of optimized decision making in this domain. Those involved in generating new therapeutics understand the path involves (i) understanding the pathophysiology and the biology of the system under study, and (ii) then expanding this understanding by modulation of drug targets.…”
Section: Figurementioning
confidence: 99%
“…The pharmaceutical industry routinely conducts animal studies as an integral component of drug discovery and development, employing them to assess key properties, such as absorption, distribution, metabolism, excretion, and pharmacokinetic profiles, and to perform proof of concept studies. This standard practice often results in the identification of candidate drugs deemed unsuitable, leading to the termination of their progression [ 1 ]. Given the resource-intensive nature of animal studies and the consequential attrition rate [ 2 ], there exists a critical need for innovative approaches that can enhance the efficiency of drug discovery.…”
Section: Introductionmentioning
confidence: 99%