Science

Covid-19

Covid-19 algorithms exhibit strong accuracy, sensitivity, and specificity at diagnosing severe Covid-19 presentations in diverse global populations.

COPD

Chronic Lung Disease Models Outperform Pulmonary Critical Care Specialists in Identifying Clinically Significant Health Deterioration At-Home

Heart Failure

Heart failure algorithms deliver highly accurate assessments (as compared to cardiologists and triage specialists) of when existing diuretic/BP therapy regimens are poorly optimized and patients should seek physician or hospital care.

Influenza

Feature importance studies on influenza show minor variation in most important clinical characteristics associated with severe influenza when comparing two methods of patient training data generation.

Asthma

Pre/Post Observational trials show that minutes of weekly decision support app engagement yields clinically significant reduction in anxiety.

Vironix’s proprietary algorithm training methodologies transcend common ML reliance on inaccessible, dirty, and non-representative hospital/medical records by leveraging global clinical characteristic and active user data to train representative, accurate, and continuously learning prediction models.

Vironix leverages global clinical characteristic and active user data to train universally applicable, accurate, and continuously learning prediction models.