Simulate Any Clinical Scenario with Pinpoint Accuracy
A platform for end to end decision-making in clinical development based on next-generation clinical AI technologies
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
- Asset Prioritization
- Asset Synergy and Overlap
- Gaps and Opportunities
Prospectively Validated
Predicting trial results before readout, without sponsor data, with 85% accuracy on the primary endpoint
IMVOKE010:
Randomized phase III study of atezolizumab (atezo) as adjuvant monotherapy after definitive therapy of squamous cell carcinoma of the head and neck (scchn)
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Simulated Results
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Actual Results
TROPION-Breast01:
A phase III open-label, randomized study of Dato-DXd versus investigator's choice of chemotherapy (ICC) in participants with inoperable or metastatic HR-positive, HER2-negative breast cancer who have been treated with one or two prior lines of systemic chemotherapy
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Simulated Results
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Actual Results
ELOQUENT1
Phase III study of lenalidomide and dexamethasone with or without elotuzumab to treat newly diagnosed, previously untreated multiple myeloma
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Simulated Results
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Actual Results
By the Numbers
>10K
Data points per patient
350
45
85%
Endpoint prediction accuracy>100K
Drug & mechanism data points350M
Lives