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

A simulation that consists of diverse, real-world patients, each with a unique response profile to your investigational therapy that closely approximates actual likely response.
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KM analysis of progression-free survival in a multiple myeloma trial for 1L patients
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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

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Clinical Development

  • Protocol Optimization
  • Indication Selection
  • TPP
  • PTS
  • Market Forecasting
  • Enrollment Prediction
Clinical Development
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Business Development

  • Search and Evaluation - Many to Few
  • Comparative Deep Dive - Few to One
  • Asset Diligence & Valuation
  • Asset Out-licensing & Disposition
Business Development
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Portfolio Management

  • Portfolio Prioritization
  • Inter-portfolio Synergy and Competition
  • Portfolio Gaps and Opportunities
Portfolio Management

Optimizing Clinical Outcomes With
Enrollment and Market in Mind

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Protocols

Quanthealth's platform for protocol optimization integrates critical inputs to refine clinical study designs, including: 


  • Highly nuanced inclusion and exclusion criteria

  • Investigational arm – regimen, combination, dosage, arm size

  • Any control arm – SoC, placebo, competitor

  • Outcomes and endpoints

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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.

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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.

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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

MASH

Cutting edge clinical trial design: combining AI-driven clinical optimization with population PK-PD
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Proud to Partner with

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Proudly Supported by

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Explore the Power of Clinical Simulation

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