AI-Driven Drug discovery
The pharmaceutical industry faces mounting challenges — rising costs, prolonged timelines, and diminishing success rates. Logica offers a superior path forward, combining AI-driven precision with Charles River’s unmatched wet lab expertise to transform small molecule drug discovery.
In this video, discover how Logica A, B, and C integrate advanced modeling with iterative design-make-test-analyze (DMTA) cycles, accelerating your journey from target to candidate. With a “lab-in-the-loop” approach, Logica ensures every decision is backed by real data and continuous learning.
How Logica® ABC comes together:
- Logica-A:
In vitro biology — sorting and characterization through predictive models and diverse screening to identify and shape high-quality hits. - Logica-B:
Translation — comprehensive PK/ADME characterization and PK/PD exposure–response to inform dose and schedule. - Logica-C:
Proof — demonstrate efficacy and characterize the therapeutic window via in vitro and in vivo studies (including toxicology) to deliver a decision-ready package for IND planning.
Learn how Logica’s holistic integration of AI and experimental data is redefining drug discovery — creating opportunities to de-risk decisions, reduce costs, and improve R&D outcomes.