Data Sciences provide advanced analytics using proprietary algorithms, tools, machine learning and predictive modelling approaches to extract insights and synthesise evidence that can be used to inform the assumptions, strategy and direction of your clinical programme.
Harvest information relevant to your question
Informing development programs goes beyond analysis of clinical data. Using proprietary software tools and algorithms, we collate information from a wide range of sources to establish a valuable evidence base for your bespoke program.
Create a secure knowledge base for your project
We process and align the varied structured and unstructured data sources to create useable information and data. Insights from these can be utilised directly or to generate a data model to inform the design of your study.
Harness data models to inform study assumptions
Data models summarise important elements of information which can be explored directly or used to generate synthetic datasets. We have built a range of data models for different diseases and can quickly build bespoke models to answer broad or in-depth questions.
Harvest information relevant to your question
Informing development programs goes beyond analysis of clinical data. Using proprietary software tools and algorithms, we collate information from a wide range of sources to establish a valuable evidence base for your bespoke program.
Create a secure knowledge base for your project
We process and align the varied structured and unstructured data sources to create useable information and data. Insights from these can be utilised directly or to generate a data model to inform the design of your study.
Harness data models to inform study assumptions
Data models summarise important elements of information which can be explored directly or used to generate synthetic datasets. We have built a range of data models for different diseases and can quickly build bespoke models to answer broad or in-depth questions.
disease areas already modelled
new tools and methods developed
clinical trial records accessible by us across 24 clinical trial registries.
“A huge THANK YOU for your extraordinary effort and dedication towards meeting our crucial deadline. Your collective hard work ensured we met our goal and contributed significantly to achieving a positive outcome. I am truly grateful for your unwavering commitment and the exceptional quality of work you’ve delivered under tight timelines. Your diligence and teamwork have indeed made a difference!”
Frances Abeton
CEO, Whyze Health
Our data science services include:
- Trial Landscape Overview to establish a comprehensive review of current and historical environment
- Competitor Overview and Analysis to understand how best to position your clinical asset
- Clinical Endpoint Review and Analysis to identify which endpoints are used and explore how they can be used to answer key questions
- Disease Specific Data Model Use to inform clinical study assumptions and support comprehensive study optimization
- Bespoke Program Decision-Making support that delivers quantitative insights to inform your development plans
- Synthetic Dataset Generation that makes the most of your historical data, allowing the testing of design and analysis options
- External Control Arm Review to determine if there is sufficient historical data for use as a control arm in a clinical trial
