Solace

A patient-centric solution revolutionizing chronic disease management through Digital Twins

What is Solace?

Solace is Quantum Insights’ intelligent precision care engine designed to personalize treatment and accelerate chronic disease research. It unifies de-identified patient data from EHRs, diagnostics, wearables, and self-reported inputs to build real-time Digital Twins—dynamic virtual models that simulate disease progression and treatment response.

Key Features

Digital Twin Technology: Generates patient-specific virtual models of organs and biological systems (e.g., heart, lungs, tumor microenvironments) to simulate treatment outcomes and validate interventions in silico.
Interactive Clinical Dashboards: Delivers intuitive visualizations of AI predictions and Digital Twin simulations, including the key variables driving each recommendation and real-time alternative intervention options.

How Solace Adds Value

Proactive Health Protection

AI analyzes real-time patient data to detect risks early, enabling timely, prioritized interventions with evidence-based guidance.

Precision Treatment Planning

Clinicians use AI patient avatars to optimize therapies, minimizing trial-and-error.

Self-Optimizing Care Pathways

ML models update recommendations based on outcomes and new research, evolving care continuously.

Research-Grade Insights

Digital twins and de-identified data let researchers simulate trials, model diseases, and validate hypotheses with real-world evidence.

Potential Business Case

Hypertension - Personalizing Blood Pressure Management

Solace personalizes hypertension management by integrating patient data to predict cardiovascular risks and simulate treatments. It cleans health data—including blood pressure, cholesterol, lifestyle, and demographics—and uses AI/ML to forecast outcomes like stroke risk and identify potential responses to treatment. Ultimately, patient specific data feeds into the digital twin which simulates medical interventions to project their impact on individual risk levels.