Data Infrastructure: secure, flexible, scalable, low-cost
Data Governance: curation, harmonization, breaking data silo's, making data FAIR and AI-ready
Data Lakehouse: architecting and costruction
Integrating cloud-based and on-prem data platforms
automation
AI-driven analytics
to streamline data capture, enhance reproducibility and accelerate discovery
Diesease Reserach: elucidating disease pathways amenable to therapeutic intervention
Target ID: biomarker-based target ID; Knowledge graph-driven novel target prediction by deep learning algorithms
Drug Repurposing: Knowledge graph-based drug repurposing prediction by deep learning algorithms
Biomarker Discovery: it's never too early to start looking for your PD and response biomarkers.
Tox/Side-Effect Prediction: Knowledge graph-based safety liability prediction by deep learning
Indication Selection: Find the indication(s) where patients will most likely benefit from your amazing therapy
Therapy-Patient Matching: What precision medicine is all about
Durg Combination Strategy; Synergy Prediction: Drug combination is the future for complex genetic diseases (e.g. oncology)
Predictive Modeling for Response
Response Biomarker Discovery: impactful for clinical successes
Clinical Response Characterization/Modeling: RWD + multi-omics + imaging data + lab data
Response Biomarker Discovery/Validation: RWD + multi-omics + imaging data + lab data
Resolve manufacturing issues, Optimize Mfg process, Ensuring GMP compliance: Modeling with clinical data (both baseline and post-treatment) and manufacturing process data
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