Predictive Biomarker Discovery

Case Study Highlights

In this case study we showcase how by combining clinical and molecular data, and integrating public data sources, we revealed new insights and expanded research possibilities. Our Sonrai Discovery platform offered advanced machine learning features without requiring coding or data science skills, accelerating the discovery of predictive biomarkers.

The Client

An emerging biotechnology company at the forefront of precision medicine, striving to redefine therapeutic success through targeted interventions and personalized treatments. This pioneering biotech venture focuses on accelerating drug discovery and development by leveraging cutting-edge technologies and data-driven insights. Committed to transforming patient care, they sought to identify predictive biomarkers for optimal drug responses.

"With Sonrai, our skills gap became irrelevant. Their integrated approach uncovered predictive insights, enabling us to validate biomarkers with confidence."

The Challenge


Our partner aimed to uncover predictive biomarkers linked to drug response, optimizing patient outcomes.

Skills and Expertise Gap:

As an emerging player, the company grappled with a shortage of skilled data scientists, hindering their ability to navigate complex big data analysis and bioinformatics.

Escaping Manual Constraints:

Manual processes couldn’t meet the speed and depth of discovery needed to achieve the precision they sought.

Simplifying Complexity:

Aiming to harness machine learning’s power without requiring extensive coding skills, our partner sought a solution to democratize its benefits.

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"In a competitive landscape, the team at Sonrai and their technology has given us a strategic edge. The actionable insights we gained from our predictive biomarker discovery amplify our clinical potential and patient impact."

The Strategy

Through our continuing partnership, we equipped our partner with an innovative biomarker discovery toolkit designed to predict optimal therapy responses.

Integrated Insights:
By seamlessly fusing clinical and molecular data modalities, we unveiled previously hidden insights, magnifying the potential for groundbreaking discoveries.

Unlocking Public Data:
Our team integrated public data sources, enriching the analytical process and widening the scope of potential findings.

Simplified Power of ML:
Our Sonrai Discovery platform provided powerful machine learning capabilities while eliminating the need for coding or data science proficiency.

"Our journey with Sonrai reshaped our precision medicine pursuit. Predictive biomarkers validated, we're now poised to elevate our clinical success through patient stratification."


Through our collaboration, we achieved remarkable results for our client. Our collaboration not only overcame challenges but also laid the foundation for a more robust and efficient biomarker discovery process, setting the stage for accelerated drug development and personalized patient care.

The analysis outputs below are for demonstration purposes. Get in touch to see the full case study with detailed outputs.

Discovering Biomarker Potential

Our partnership yielded a comprehensive list of potential biomarkers with strong predictive power.

Market Access
Validation of Promise

Our partner successfully validated the predictive value of these biomarkers, marking a significant stride toward their precision medicine goal.

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Empowered Path to Success

Armed with actionable insights, our partner gained a competitive edge through targeted patient stratification and refined subpopulation matching, paving the way for more assured clinical success.

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Unified Code and No-Code Discovery

Unify diverse data sources, enabling effective collaboration and accelerate biomarker discovery through code-free and code-based analysis.

Patient Stratification

Sonrai's AI and ML solutions enabled precise patient stratification for targeted interventions, enhancing personalized treatment approaches.

Accelerating MoA Studies

Find out how our support facilitated the identification of predictive biomarkers, enhanced mechanism of action understanding, and accelerated R&D goals.

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