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
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.
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
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.
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
Triage of patients according to prognosis of outcome, e.g., fast progressors, or progressors to more acute symptoms.
Anticipate treatment efficacy, demonstrate cost-effectiveness and optimise resource allocation.
A clear picture of potential treatment pathways, which supports informed clinical decision-making.
Precise market segmentation, informed demand forecasting, and refined go-to-market and messaging strategies.
Industry-leading technology at work
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.
Transformative real-world impact
Our technology has already made a significant difference in the lives of many patients by triaging patients into the right care pathways.
Here are a few examples of how the Volv Global and inTrigue have transformed patient lives:
Tailored therapeutic strategies for fast progressors, resulting in better disease management and quality of life.
Identified fast progressors, allowing for immediate treatment adjustments and improved survival rates.
Efficiently allocated resources to fast progressors, enhancing patient care and clinical outcomes.
Shaping the future today
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.
