Press release: AI-Driven Patient Detection Surfaces Approximately 1,200 Likely-Undiagnosed GEP-NET Patients in UK Primary Care
Volv Global applied machine learning to 24M UK primary care records, surfacing ~1,200 undiagnosed GEP-NET patients, 5...
How we help you
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.
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.
