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Case Studies

Real outcomes.
Real decisions.

Explore how Sonrai teams have supported target discovery, biomarker validation, and clinical development across complex datasets.

Case studies
Faster, multi-modal biomarker discovery Anonymised example
Faster, multi-modal biomarker discovery
Integrated genomic, proteomic, imaging, and clinical data to identify and evaluate candidate biomarkers across heterogeneous datasets.
Integrating imaging and omics for deeper biological insight Anonymised client case
Integrating imaging and omics for deeper biological insight
Combined histopathology imaging with omics data to uncover relationships between molecular signals and tissue-level features.
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Improved biomarker insight with stronger biological and clinical relevance
Translating immunotherapy from discovery to clinical insight Composite example
Translating immunotherapy from discovery to clinical insight
Connected preclinical and clinical datasets to understand treatment response and mechanism of action.
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Enabled translational insights linking biology to clinical outcomes
Building a biomarker classifier from miRNA data Illustrative workflow
Building a biomarker classifier from miRNA data
A step-by-step workflow in Sonrai Discovery: filter a cohort, visualise it, train a classifier and check the top feature.
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Shows how a classifier is built and checked, using a bladder cancer example
Reducing uncertainty in early drug discovery Anonymised client case
Reducing uncertainty in early drug discovery
Integrated multi-modal datasets to assess biological relevance and prioritise discovery hypotheses.
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Increased confidence in early-stage target selection
Improving in vivo efficacy decisions Use case
Improving in vivo efficacy decisions
Analysed preclinical data to evaluate treatment efficacy and support candidate progression decisions.
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Better-informed go/no-go decisions for candidate advancement
Generating prognostic biomarkers from imaging data Illustrative workflow
Generating prognostic biomarkers from imaging data
Applied advanced imaging analysis to identify features linked to disease progression and outcomes.
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Identified prognostic signals supporting clinical decision-making
Connecting target engagement to treatment response with multimodal data Anonymised client case
Connecting target engagement to treatment response with multimodal data
Integrated imaging, omics and clinical data from a Phase II oncology trial to investigate target engagement and treatment response.
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A clearer picture of treatment activity and candidate biomarkers for further investigation

Client analysis takes place inside a governed, reproducible research environment, with data handling agreed with you before any work begins.

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