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The Biomedical Intelligence® Cloud was designed from the ground up to enable learning and growing knowledge from heterogeneous biomedical data and literature.
Biomedical Samples
Biomedical Abstracts & Publications
Analyses
Knowledge Graph Relations
Move from data to actionable knowledge in three stages enabled by the Biomedical Intelligence® Cloud.
DataHub integrates public and organization-specific data annotated with comprehensive biomedical ontologies.
Biomedical App Engine provides a suite of advanced bioinformatics and machine learning tools for comprehensive analysis of multi-omics and clinical data.
The CURIE Knowledge Graph continuously integrates new information derived from public and private data and literature.
A suite of advanced bioinformatics and machine learning tools for comprehensive analysis of multi-omics and clinical data.
Integrated multidimensional evidence linking genes, pathways, diseases, drugs and phenotypes. Continuously 
updated based on new data, literature and user-ingested knowledge.
Interrogate multiple CURIE entities simultaneously: e.g. explore gene signatures across diseases or compare responses to multiple drugs.
Go from tables to networks to gain functional, systems-level understanding of the disease or drug under investigation. Understand underlying mechanisms.
Interactively explore cohorts with multi-omics and clinical data. Interrogate single gene markers and gene signatures. Test associations between omics and clinical measurements and outcomes.
Search gene profiles from over 1 million analyses to discover conditions and contexts matching your query. Interrogate profile similarities and differences using the Analysis Comparison App.
Scientific abstracts, publications, clinical trial descriptions and patents analyzed and annotated using an advanced NLP pipeline. Explore co-occurence and direct sentence-level relations classified using a semantic relation classification engine.
Analyze over 20 pathway domains to identify differentially expressed and enriched pathways in your conditions of interest. Leverage the CURIE Knowledge Graph for contextual interpretation and comparison with over 1 million prior analyses on the platform.
Identify molecular subtypes of disease based on multidimensional omics data. Explore pre-defined subtypes. Automatically assign new samples into subtypes. Associate subtypes with molecular and clinical outcomes.
Identify and quantify up to 64 cell types represented in bulk mRNA data. Correlate cell types with clinical outcomes and other metadata. Expand your analysis to additional cell types using custom gene signatures.
Identify associations of multidimensional omics and clinical predictors with clinical outcomes. Include model covariates, interactions and random effects. Analyze categoric, continuous, survival and temporal data.
Build interpretable machine learning models to identify optimal and biologically-meaningful feature combinations predicting response and clinical or molecular outcomes.
Analyze and interactively explore scRNA-seq data: identify cell clusters, apply batch correction, predict cell types, and visualize the results. Identify differentially expressed genes, annotate cell types and correlate with outcomes. Ability to integrate scRNA-seq data with CITE-seq, ATAC-seq, TCR and BCR sequencing data.
From data to actionable knowledge.
Multiomics data management and semantic annotation
Pre-integrated public data
Fine-grained access control
Multi-layer security
Pre-integrated public data
Bioinformatics, systems biology, machine learning & AI analysis apps
Interactive multiomics and single cell browser
Molecular network and pathway browser
Comparative analysis across datasets and conditions
Knowledge graph continuously updated with data- and literature driven information
Data-driven evidence from thousands of datasets
Literature-driven evidence from milions of publications
Powerful UIs and APIs to explore and access integrated knowledge and underlying evidence
Contact us to schedule a demo and discussion session.
