From our Library to Your Standard: Workflows That Adapt to How Your Organization Discovers and Develops human Therapeutics

Register here: https://benchsci.zoom.us/webinar/register/WN_nq0smc0hS1GvYA9V-p8Tvw

Every preclinical organization already runs through the same questions over and over — target safety assessments, developability profiles, dose-selection rationales, biomarker strategies. The expertise behind the answers is real and hard-won It just isn't written down anywhere, so every team reaches them differently, and no two answers line up when they reach a committee.

The EMET workflow library encodes that work. Not a vendor's idea of how research should be done, but a decomposition of the function, stage, and decision points pharma already uses. The library spans preclinical R&D: discovery biology, small molecule and biologics, instrumental analytics, quantitative pharmacology, DMPK, safety, translational and biomarker, data science, portfolio management, and regulatory.

A shipped workflow is a starting point, not the finish. The value arrives when a company adapts one to its own data, its own sequence of skills, and its own definition of sufficient evidence. The general science is already done, so your teams spend their effort on the part only they can supply.

Join Peter Grandsard (Senior Vice President, Strategy), who spent decades in pharma setting up R&D strategy and leading large research organizations, on why AI adoption stalls in preclinical research when it isn't aligned to the workflows teams already run. Catriona Ling (Scientific Solutions Architect) then presents the library and runs the workflows live.

Attendees will see:

• How the library maps onto work your teams already do — organized by area of R&D and by who does it, from bench-level characterization up to decision-tier verdicts a portfolio review can act on
• One workflow run end to end — a target safety assessment resolving to a structured risk call, with citations back to every piece of evidence behind it
• Where the scientist stays in the loop — reviewing evidence, challenging a finding, and pushing the analysis further in the same session
• How our forward-deployed scientists work alongside your teams to make a workflow your own