The Prediction Engine for Life Sciences

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Forecast clinical outcomes
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Optimize trial design
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Expand commercial opportunity
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Reveal Clinical translates teams' trial data into predictive models which
optimize each stage of the development lifecycle.
01
Preclinical & Early Clinical
Optimize candidate selection
02
Late Stage
Design faster and more successful
03
Launch & Post-Market
Expand addressable market

Reveal Clinical Use Cases

What you do today
What predictive models unlock
Analyze precedent trial designs
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Identify optimal patient populations and maximize POS
Consult clinicians and KOLs
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Design leaner and faster trials
Leverage validated biostatistics methods
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Quantify tradeoffs across design decisions
What you do today
What predictive models unlock
Long-term projections that reviewers can challenge
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Defensible long-term projections that justify pricing
Value arguments limited to broad patient averages
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Subgroup-level value story that expands coverage to more patients
Treatment effect evidence from a single trial timepoint
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Evidence that protects market position over time

Measurable Outcomes

Impact across the entire clinical and commercial lifecycle

15
-
25
%
smaller trials

through optimized patient selection and enrichment

10
-
20
%
increase in trial success rate

for critical efficacy and safety data

$100M+
incremental addressable market at launch

through broader reimbursement coverage supported by subgroup-level evidence

How it works
Our predictive models leverage Model Informed Drug Development (MIDD) techniques
– frameworks that are well-accepted and endorsed by the FDA and EMA
AI
01

Harmonize Data

integrate internal trial data with published literature and real-world evidence

02

Build Models

construct and validate disease progression models

03

Run Simulations

simulate trial designs and project clinical outcomes

Frequently Asked Questions

Do you need a help?
Contact us

Reveal Clinical is not a replacement for your EDC system. Instead, we sit on top of your existing EDC system and connect out of the box with popular EDC systems such as Medidata Rave and Merative Zelta.

Model-Informed Drug Development is a quantitative approach to drug development, leveraging mathematical and statistical models that represent how drugs and disease affect patients. The most widely utilized MIDD technique is pharmacokinetic (PK) modeling which is universally used to determine optimal drug dosage levels. In addition to PK, we also leverage techniques such as Disease Progression Modeling (DPM), Quantitative Systems Pharmacology (QSP) and Model-Based Meta Analysis (MBMA).

The predictive models created by Reveal Clinical solely belong to our life sciences partners. We are a software platform that enables the creation and utilization of predictive models. We do not use sponsor data to generate generalized models that are provided to other life sciences companies. Our platform does not learn from or train from any customer data.

Reveal Clinical uses a combination of internal trial data (preclinical or clinical) as well as external data sources (natural history data, external control arm trial data) and literature to build program and drug-specific predictive models.

Predictive models support activities across the life cycle of drug development. At the earliest stages, predictive models help teams assess the potential of preclinical candidates. At later stages, predictive models help teams identify the optimal patient population to reduce trial size and increase POS. As teams approach commercialization, predictive models help market access and commercial teams secure favorable pricing and formulary positioning.

Reveal Clinical has been built with the highest levels of data security and integrity standards. We align with key regulatory and compliance standards such as HIPAA, 21 CFR Part 11, GAMP5, and GDPR.

See What a Prediction Engine Can Do for Your Program

We'll walk through your disease area, your data, and how Reveal Clinical fits into your development timeline.