Imagine What You Could Discover
Meet the world’s most powerful biomarker discovery platform that integrates and analyses multi-omics, towards early identification of novel disease biomarkers.
Your end-to-end data solution for Biomarker Discovery, streamlined to support your analysts, and augmented by advanced AI & Machine Learning tools.
Manage your Data
Upload and integrate your datasets with just a few clicks.
The Sonrai platform allows User's to simply drag and drop data files, to input directly, or to integrate multiple sources such as Google, Microsoft, Dropbox and your own existing servers and tools.
Automate best data management practices, with full transparency and control
Treat your data like code, with automatically generated track & trace recording, data lineage and versions that allow you quickly rollback or experiment in a secure research environment.
Analyse your Data
Find what you're looking for with code-free purpose-built machine learning healthcare analytics
The Sonrai platforms enables users of all backgrounds to quickly and easily build new data pipelines and workflows and to seamlessly run thousands of experiments across hundreds of use cases.
What Does An AI Biomarker Workflow Look Like?
Need some advice?
Meet our expert Biomarker team
Example Biomarker Discovery Workflow Experience Use Case
Principle Components Analysis (PCA)
1. Use dimension reduction to visualize the variation in your molecular datasets and determine whether key biomarkers or variables are associated with this variance.
2. Generate feature lists associated with phenotypes such responder vs non-responders using differential expression analysis
3. Visualise and cluster your gene signatures on heatmap and dendrogram to identify key patterns of expression
Boxplot for Biomarker Expression
4. Compare biomarker expression across different groups of patients and determine statistical significance
We've got our biomarkers, so what now? Train XGBoost Model Build Imaging Algorithm
Train ML Model
Train powerful regression and classification models using Xgboost for predicting whether a patient has disease or whether they will respond to therapy
Build Imaging Algorithm
Use Deep Learning Neural Networks to train research or clinical algorithms that can stratify patient risks or identify early warning signs
Build, link and manage all your datasets, projects and experiments, with built-in collaborative tools, communication, and management controls.
Democratise your data with easy to use data dashboards, convenient tasks, notes and notifications, and a centralised means of collating findings and project progress.
Sonrai's self-service platform lets you easily manage all of your users, their permissions and access rights, and configure settings to your needs.
Sonrai does not limit User seats or types, and our customers can freely choose who and what their users can see and do.