Drug Discovery Insights
Use longitudinal, multi-modal datasets to uncover novel biomarkers, validate mechanisms of action and de-risk early-stage investments
Prospective cohort building of patients with different diseases
- E.g., Epilepsy, Parkinson’s, ALS, MS
Multimodal data generation and data integration (EHR, Omics)
Defining early trial endpoints
Prospective cohort building of patients with different diseases
- E.g., Epilepsy, Parkinson’s, ALS, MS
R&D
Preclinical research direction
- Patient-derived data informing models
- Biomarker discovery
Understanding disease burden and unmet need
- Epidemiology from EHRs, registries, claims data
- Patient journey mapping
- Unmet need identification
Target and pathway identification
- Linking omics data with clinical data
Hypothesis generation for drug repurposing
Key Services:
Advanced Multimodal Data Integration
- Incorporation of:
- Genomics
- Proteomic
- Imaging
- and EHR data to support biomarker discovery and target validation (cf. Tempus model).
Therapeutic Area Deep Dives
- Curated datasets and insight generation tailored to
- specific indications
- with the ability to work across oncology, neuroscience, immunology and rare diseases
Biobanking & Omics-Linked Phenotyping
- Access to:
- bio-sample metadata and
- linkages with clinical and outcomes data to enrich early-stage research.