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Contact — Contact on Nova In Silico | Clinical trial simulations & digital twins. Nova is a leading MIDD consulting company and editor of the modeling &.
Applications — Nova’s mechanistic models support every R&D stage, from target identification through trial design to post-approval evidence.
Publications Posters — Discover Nova in silico’s posters and publications. Nova is a leading MIDD consulting company and editor of the modeling & simulation platform Jinkō.
Blog — The latest from Nova In Silico: research updates, press releases and industry perspectives.
Try Jinko — Run your first trial simulation in 5 minutes! Get a demo version of the breakthrough modeling & clinical trial simulation platform, Jinkō, by Nova.
Jinko — Expedite development while mitigating risk in clinical programs. Through jinkō, Nova delivers a premier simulation environment with fast computing power.
Model Library — Leveraging Nova’s disease model library, clinical investigators evaluate hypotheses to ensure trial designs remain precise and streamlined.
About — Nova is a leading MIDD consulting company and editor of the modeling & simulation platform Jinkō.
Leadership — Learn more about Nova's leadership team. Nova is a leading MIDD consulting company and editor of the modeling & simulation platform Jinkō.
Careers — Join a leading company in modeling & clinical trial simulation, as a QSP modeler, a software engineer or administrative, sales and marketing roles.
Case Studies — Discover Nova in silico’s case studies. Nova is a leading MIDD consulting company and editor of the modeling & simulation platform Jinkō.
Evidence — Read about Nova in silico's breakthrough prospective predictions case studies. Discover our posters, publications and white papers on modeling & simulation.
White Papers — Discover Nova in silico’s white papers. Nova is a leading MIDD consulting company and editor of the modeling & simulation platform Jinkō.
Digital Twin — The jinkō platform by Nova generates virtual patient twins to model human physiology and disease progression with high accuracy for clinical R&D.
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