What we do

We predict patient outcomes

Volv Global’s inTrigue machine learning methodology can uncover subtle signals and patterns in large-scale medical and biological data that indicate how a disease may progress, or how patients are likely to respond to specific therapies.

This empowers clinicians and healthcare providers to make more informed, proactive decisions and minimise trial-and-error treatment approaches, helping to prevent disease complications, reduce healthcare costs, and improve overall patient well-being.

Why outcome prediction matters

The importance of predicting patient disease outcomes

Predicting patient outcomes is a critical step in optimising care and ensuring the best possible treatment for each individual. Forecasting disease trajectories allows the identification of optimal treatment pathways and the highlighting of potential risks earlier in the patient journey.

Find the right
treatments

Machine learning models can detect subtle patterns in patient data, indicating how individuals are likely to respond to specific therapies. This offers clear evidence for matching treatments to patients

Timely
interventions

Early forecasting of disease trajectories highlights risks and warning signs before they escalate. This enables preventative and proactive treatments (or lifestyle recommendations) for more cost-effective care.

Optimise
the patient journey

Predictive insights offer guidance on the most efficient and effective treatment pathway, streamlining care from diagnosis to recovery. This allows for better health outcomes and lower long-term costs.

Volv Global’s inTrigue powers solutions across stakeholders

Impact across the product lifecycle

Clinical
Development

Triage of patients according to prognosis of outcome, e.g., fast progressors, or progressors to more acute symptoms.

Value, Access
& HEOR

Anticipate treatment efficacy, demonstrate cost-effectiveness and optimise resource allocation.

Medical
Affairs

A clear picture of potential treatment pathways, which supports informed clinical decision-making.

Commercial
Excellence

Precise market segmentation, informed demand forecasting, and refined go-to-market and messaging strategies.

Industry-leading technology at work

How inTrigue predicts patient outcomes

inTrigue uses advanced AI and machine learning to forecast how patients may respond to treatments and how their conditions could progress. By analysing extensive clinical data, electronic health records, and real-world evidence, inTrigue empowers healthcare providers to make proactive decisions that optimise care and accelerate research.

AI-Driven Forecasting: builds predictive models from historical and real-time data to anticipate disease progression and complications.

Personalised Treatment Pathways: identifies the most effective therapies for each patient, enabling targeted interventions.

Adaptive Learning: continuously refines predictions with new data, ensuring insights remain accurate and actionable.

What people ask

Questions About Predicting Patient Outcomes

A: Volv Global’s inTrigue uses AI and machine learning to analyse clinical, biological, and real-world data. By identifying subtle signals in patient information, the system can forecast how diseases are likely to progress and how individuals may respond to specific therapies — supporting proactive, personalised treatment decisions.

A: AI-powered outcome prediction helps personalise patient treatment, allowing physicians to choose the right therapy for the right patient earlier. This improves patient care, lowers healthcare costs, and strengthens clinical decision-making by offering evidence-backed insights into disease trajectories.

A: Volv Global’s predictive models help triage patients based on disease progression risk, enabling faster and more targeted clinical trial recruitment. This approach improves the quality of real-world evidence (RWE), helping pharmaceutical and research partners optimise study design and accelerate therapy approval.

A: Yes. Volv Global’s inTrigue platform integrates securely with EHR systems, clinical databases, and research platforms. This allows real-time access to predictive insights, enabling earlier detection and more accurate patient monitoring across care networks.

A: Volv Global follows rigorous validation and governance protocols, ensuring its predictive models are accurate, transparent, and unbiased. All patient data is anonymised and handled under GDPR and HIPAA compliance, supporting ethical and responsible AI deployment in clinical environments.

We predict patient outcomes

The importance of predicting patient disease outcomes

Find the right treatments

Timely interventions

Optimise the patient journey

Impact across the product lifecycle​

Clinical Development

Value, Access & HEOR

Medical Affairs

Commercial Excellence