How we help you

Patient insights for clinical development

Volv Global accelerates and de-risks clinical development strategies much earlier in the pharma development lifecycle, improving planning robustness and efficiency through better understanding of patients cohorts and diseases.

De-risk clinical
strategy

Identify a cohort more precisely to establish better clinical development strategies much earlier in the development lifecycle.

Find more patients, earlier, and quicker

Understand disease and disease progression to find the right patients at the right point in the patient journey. Identify patient clusters to support trial site selection.

Expand disease
understanding

Elucidate disease heterogeneity and identify novel endpoints to signpost new biomarkers to optimise protocol design.

Overcome data
gaps

Use advance machine learning techniques to overcome issues of unstructured data, data sparsity and bias in data sources.

Clinical development in the face of complexity

The challenge of understanding disease phenomenology

Complexity of Disease Presentation

Variability in phenotypic expression, progression and comorbidities complicates patient stratification and endpoint selection.

Data Sparsity

Rare diseases or subgroups have small patient populations and may lack sufficient data for robust insights.

Bias in Data Sources

Records may over-represent certain populations or healthcare systems, limiting generalisability.

Data Gaps

Lack of longitudinal and complete datasets that capture the full trajectory of disease evolution makes it difficult to model disease progression.

Unstructured Data

Many critical insights are buried in free-text notes, requiring advanced natural language processing (NLP) to extract.

Incomplete Pathophysiological Insights

Limited understanding of disease biology hinders biomarker identification and endpoint selection for clinical trials.

Supporting Clinical Development

Actionable, state-of-the-art solutions for drug development

We find
more
patients

We find undiagnosed and misdiagnosed patients, expanding the pool of patients for clinical trial recruitment.

We detect
diseases at an
earlier stage

We find patients before the development of traditional symptoms, before they are given conventional therapies.

We predict
patient
outcomes

We enable triage of patients according to prognosis of outcomes, e.g., fast progressors, or progressors to more acute symptoms.

We stratify
patient
cohorts

We differentiate and cluster heterogeneous patient cohorts for more accurate definition of trial inclusion and exclusion criteria.

Leading AI/ML methodology to support Clinical Development

Volv Global’s inTrigue technology

inTrigue is a robust resource to optimise trial design and patient recruitment by leveraging its AI/ML-driven analysis of extensive electronic health records, claims data, and other real-world evidence. By detecting subtle biomarkers, phenotypes and other clinical features which characterise patients, sponsors can streamline enrollment and target the most relevant participants. Additionally, inTrigue’s predictive modelling helps refine protocols and endpoints based on anticipated disease progression, ensuring sponsors gather higher-quality data and reduce trial timelines.

Shaping the future today

Our case studies & challenges in clinical development

Unlocking the Full Impact of Breakthrough Therapies in Breast Cancer Through Earlier Detection

27/06/2025

Progressive Pulmonary Fibrosis: Solving the Puzzle of Poor Disease Control

23/06/2025

Poster: Alpha-1 Antitrypsin Deficiency: Why millions remain undiagnosed

13/05/2024

Unlocking the Full Impact of Breakthrough Therapies in Breast Cancer Through Earlier Detection

- 27/06/2025

Talk to us

Ready to shape the future of healthcare? Let’s explore how our machine learning solutions can accelerate diagnoses, refine patient journeys, and drive meaningful impact for those who need it most. We value your ideas and expertise, reach out now to unlock new possibilities together.

Patient insights for clinical development

De-risk clinical strategy

Find more patients, earlier, and quicker

Expand disease understanding

Overcome data gaps

The challenge of understanding disease phenomenology

Complexity of Disease Presentation

Data Sparsity

Bias in Data Sources

Data Gaps

Unstructured Data

Incomplete Pathophysiological Insights

Actionable, state-of-the-art solutions for drug development

We find more patients

We detect diseases at an earlier stage​

We predict patient outcomes

We stratify patient cohorts

Volv Global’s inTrigue technology

Our case studies & challenges in clinical development

What we do

Insights

inTrigue

Meet Volv Global