Observational studies at Arcturis have a number of benefits over traditional methods.
Long-running research contracts with our data partners allows us rapid access up-to-date data, and our research collaborations bring both rationale for what is seen in the data and expert clinical perspective of the research question.
Our approach can be used for a range of studies from natural history of disease and burden of illness to specific studies for value demonstration and regulatory submissions.
Natural History Studies:
Natural history studies aim to provide context to specific patient cohorts, including the combination of different treatment regimens and their sequencing, understanding natural treated progression, change in biomarkers over time, and the estimation of key clinical outcomes, both in the wider cohort, but also clinically relevant sub-groups.
Using rich longitudinal real-world data, Arcturis can provide detailed patient characterisation, along with comprehensive patient pathway analyses to understand these complex clinical pathways.
Using our real-world data platform, Arcturis can uncover underlying patterns in how a disease will progress and in turn, develop outcome-specific prediction models using various statistical and machine learning methods. These approaches can be used to identify “high risk” patients, to provide decision support in clinical practice and to support research staff to identify patients suitable for a clinical trial at an early stage.
Chronic Kidney Disease case study
Arcturis can apply clustering techniques to stratify patients into distinct sub-groups based on either the presence or absence of specific clinical observations or similarities with respect to outcomes. These insights can be used to improve our disease understanding, tailor therapeutic interventions, and accelerate the development of novel therapies.
THEMIS case study