Novadiscovery
Nova In Silico is a company dedicated to revolutionizing clinical trials through AI-driven in silico simulation technology. They develop mathematical disease models and virtual populations to predict clinical outcomes, optimize trial design, and support drug development from discovery to market access. Their platform, jinkō, enables researchers and clinicians to design, build, and run virtual clinical trials, reducing costs, time, and ethical concerns associated with traditional trials. Committed to advancing personalized medicine, Nova In Silico leverages scientific knowledge, data science, biology, and medicine to improve the efficiency and success rate of clinical research.
Industries
Nr. of Employees
small (1-50)
Products
Clinical trial simulation platform (SaaS)
A cloud-hosted platform for building, managing and running mechanistic disease and treatment models, generating virtual populations, and executing in silico trials across discovery to market access.
Clinical trial simulation platform (SaaS)
A cloud-hosted platform for building, managing and running mechanistic disease and treatment models, generating virtual populations, and executing in silico trials across discovery to market access.
Services
In silico clinical trial simulation services
Design and execution of virtual clinical trials to test protocol variants, treatment regimens and comparator scenarios for decision support across development stages.
Model development and validation
Literature curation, construction of knowledge-based disease and treatment models, evidence scoring and prospective validation against clinical data.
Market access and HTA simulation studies
Simulations to generate evidence for payer discussions and to address gaps in HTA dossiers, including long-term extrapolation and comparator analyses.
Collaborative knowledge curation and training
Facilitated curation of scientific evidence, team collaboration on model components, and training for scientists and clinicians to use simulation tools.
In silico clinical trial simulation services
Design and execution of virtual clinical trials to test protocol variants, treatment regimens and comparator scenarios for decision support across development stages.
Model development and validation
Literature curation, construction of knowledge-based disease and treatment models, evidence scoring and prospective validation against clinical data.
Market access and HTA simulation studies
Simulations to generate evidence for payer discussions and to address gaps in HTA dossiers, including long-term extrapolation and comparator analyses.
Collaborative knowledge curation and training
Facilitated curation of scientific evidence, team collaboration on model components, and training for scientists and clinicians to use simulation tools.
Expertise Areas
- Clinical trial simulation and optimization
- Quantitative systems pharmacology (QSP)
- Virtual populations and digital twins
- Model-informed drug development (MIDD)
Key Technologies
- Quantitative Systems Pharmacology (QSP)
- Mechanistic mathematical modeling
- Virtual population generation / digital twins
- SBML (model exchange format)