Predict How Any Patient Will Respond To Any Therapy
Experience drug-patient simulations based on next-generation clinical AI that guide clinical development like never before
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Explore Every Human Nuance and Therapeutic Effect to Simulate New Clinical Realities
Reality vs Simulation
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Omni-Channel Data
An integrated data framework bridging the biomedical, clinical, and epidemiological domains
$350M Lives
Multi Modal Data
100K Drugs
Data Elements
Biomedical
Knowledge Graph
180K Trials
Curated Results Data
Use Cases
Supporting Sponsors from Early Clinical Development to Approval
Clinical Development
- Protocol Optimization
- Indication Selection
- TPP
- PTS
- Market Forecasting
- Enrollment Prediction
Business Development
- Search and Evaluation - Many to Few
- Comparative Deep Dive - Few to One
- Asset Diligence & Valuation
- Asset Out-licensing & Disposition
Portfolio Management
- Portfolio Prioritization
- Inter-portfolio Synergy and Competition
- Portfolio Gaps and Opportunities
Optimizing Clinical Outcomes With
Enrollment and Market in Mind
Protocols
Quanthealth's platform for protocol optimization integrates critical inputs to refine clinical study designs, including:
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Highly nuanced inclusion and exclusion criteria
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Investigational arm – regimen, combination, dosage, arm size
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Any control arm – SoC, placebo, competitor
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Outcomes and endpoints
Outcomes
The output of Quanthealth's protocol optimization platform offers virtual trial results in a format identical to that of a real clinical trial. This ensures that researchers and clinicians receive an exhaustive report that mirrors the depth and precision of actual trial data, allowing for data-driven decisions and more effective clinical study design.
Enrollment Prediction
The patient recruitment module predicts the expected recruitment curve over time by combining the cohort definition from the protocol with data on selected recruitment sites to allow for comparison of expected trial enrolment rates among different cohorts.
Market Forecasting
Predict the expected number of patients in various geographical markets based on a specific cohort definition. This module allows to compare the global patient population across different cohorts, enabling more informed and strategic planning.
Demonstrating Value Across Therapeutic Areas
Case Studies by Disease Type
MASH
Head & Neck Cancer