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New disease understanding for medical affairs

Volv Global expands the boundaries of medical understanding and boosts awareness of difficult-to-diagnose diseases among physicians and key opinion leaders with credible real-world data insights for better clinical decision-making.

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Expand disease understanding

Detect novel biomarker sets for more complete understanding of disease and faster diagnosis of difficult-to-diagnose patients.

Overcome
data gaps

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

Elucidate disease heterogeneity

Identify cohorts more precisely and at an early stage for better longitudinal assessment of patient health outcomes.

Improve clinical decision-making

Understand disease progression better to diagnose patients showing early signs or triage those with rapidly progression.

Medical affairs in the face of complexity

The challenge of understanding disease phenomenology

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Knowledge Gaps

Limited understanding of underexplored disease areas or newly identified phenotypes.

Evolving Disease Insights

Rapid advancements in disease understanding create challenges in conveying evolving disease knowledge to healthcare professionals.

Insufficient or Fragmented Data Sources

Challenge in generating real-world evidence (RWE) for understanding of diseases, esp. for rare diseases or newly emerging conditions.

Real-world Heterogeneity

Variability in disease presentation across diverse patient populations.

Post-market Surveillance

Identifying and characterising rare adverse events or long-term outcomes.

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.

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Leading AI/ML methodology to support Medical Affairs

Volv Global’s inTrigue technology

Medical affairs teams benefit from inTrigue’s ability to reveal crucial patient indicators and predict treatment response, drawing on advanced AI and machine learning. By identifying subtle disease biomarkers, phenotypes, or other clinical features, inTrigue ensures no patient is overlooked—informing scientific exchange and shaping evidence-based recommendations. Coupled with real-world insights on disease progression, medical affairs professionals can guide healthcare providers in selecting the most effective interventions, reinforcing patient-centric care across diverse populations. 

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Shaping the future today

Our case studies & challenges in Medical Affairs

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inTrigue

Meet Volv Global