Data analysis B2B
Turn complex biomedical data into actionable insights
Advanced analysis for high-dimensional biomedical datasets
Biomedical data are becoming increasingly complex. We measure hundreds or thousands of variables, from genomics and imaging to biomarkers, but often we have only a limited number of patients or samples. This makes reliable analysis and personalized medicine challenging.
What can SaddlePoint help you investigate
A simple structured process
We start with your data and your question and guide you through a clear process from initial analysis to deeper understanding.
What you receive
A clear, focused report with the insights that matter to you.
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Relevant patient subgroups
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Predictive and risk models
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Treatment-response insights
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Biomarker-related findings
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Model performance and validation measures
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Visualisations and key patterns
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Interpretation of results
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Recommendations for follow-up analyses
Built for complex biomedical data
Saddlepoint is particularly suited to datasets where the conventional approaches can struggle
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High-dimensional data
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Large numbers of variables, biomarkers or measurements
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Complex patient populations
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Where meaningful subgroups or response heterogeneity may exist.​
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Limited sample size
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Complex datasets where the number of variables is large relative to the number of patients.
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Multiple potential predictors
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Identifying robust and relevant signals is more important than simply finding correlations.​
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A low-risk way to explore your data
Do you have a dataset with a question you were unable to answer? And you don’t want to commit to a long-term software implementation before understanding it’s potential value. Talk to Saddle Point Science about your data and explore how we can help!
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If the results demonstrate value, we can continue with a more comprehensive SPS validation and discuss longer-term software use.