- Design and implement data analysis pipelines
- Simulate virtual patient cohorts
- Develop communication strategy and content to present modeling results
Scientific strategy development and communication
Drug development pipelines generate data from a variety of experiments, including in vitro assays using different cell lines, in vivo studies with different preclinical species. Clinical translation teams rely on these diverse datasets to inform candidate selection and dosing. A comprehensive modeling and simulation framework that integrates data from multiple studies can shorten development timelines, foster effective communication within interdisciplinary teams, and with corporate stakeholders.
Data integration and model translation
Meaningful integration of data from multiple studies requires a detailed understanding of the disease biology, and how different studies such as in vitro dose response curves, and in vivo functional response assays inform candidate and dose selection. Model parameters estimated from in vitro data can be used to simulate the expected range of outcomes for preclinical studies with different animal models. Such simulations can help select the appropriate experimental model, doses and measurement time points. Translating model parameters from preclinical species to human can anticipate the expected clinical response and allow teams to conduct in silico trials with virtual patient cohorts.
Modeling strategy and communication
A well articulated strategy that clearly identifies how different sources of data will be integrated, modeled and used to inform candidate selection can provide guidance to translational teams. Such a strategy can also be used to communicate effectively with different groups, such as executives and investors, and inform them of ongoing progress at an appropriate level of scientific detail.
How we can help
Quantilogix can support your R&D program with the following services:
We are especially adept at working with interdisciplinary teams and small R&D groups with limited modeling capacity, and aim to provide cost-effective solutions catered to your needs and budget.