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Deep 6 AI vs Nimbus Therapeutics
Side-by-side comparison of features, pricing, and ratings
Designing highly selective small molecule medicines for oncology, immunology, and metabolism.
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Plans
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Popularity
5.3k views
6.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
WebAPI
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Categories
📊 Data & Analytics🏥 Healthcare
🔬 Research & Education🏥 Healthcare
Features
Unstructured data NLP for clinical notes and EHR text
Real-time patient identification against trial criteria
Pre-screening and eligibility assessment
Integration with EHR systems (Epic, Cerner)
CTMS integration (Medidata, Veeva)
Patient self-screening portal
Feasibility analytics for site selection
Regulatory-compliant data de-identification
Custom criteria definition using medical ontologies
Audit trail and reporting for trial monitoring
Negation and temporality handling in clinical text
Family history extraction from free-text notes
SNOMED CT and ICD-10 mapping
FHIR API support
Validation studies published
Target selection with exquisite selectivity
Computational drug design for small molecules
Translational medicine pipeline development
Clinical development of selective inhibitors
SIK2 inhibitor programs for immuno-inflammatory diseases
Oncology small molecule therapeutics
Metabolic disease small molecule programs
Structure-based drug design
Preclinical and translational data generation
Rigorous molecular optimization for selectivity
Integrations
Epic
Cerner
Medidata
Veeva Vault
SNOMED CT
ICD-10
FHIR