Design the Flexible Study Your Science Needs: Watch the Webinar

In this session, our in vivo specialists shows how Climb adapts to the study you want to run, with live demonstrations of study design, mid-study changes, and colony management in a single system.

Most in vivo software is designed around a standard study. Discovery science rarely looks standard. You might be working with a new model, a timed collection, or a design that changes halfway through because the early data showed something worth following. When the software can’t keep up, teams end up working around it in spreadsheets and homegrown trackers.

In our recent webinar, Climb Product Manager Breac Baker and the Climb team showed what it looks like when the software adapts to the study instead, with live demonstrations throughout.

What the session covers

Designing freely. Configure a non-standard study design without custom code, then amend it while it’s running, with the data you’ve already collected kept intact.

Data centralization. See colony, animal and study data held in one record, from the moment an order is received through to study completion.

Delivering quickly. Reusable templates, schedules that link to each animal and technician, and hands-free data capture from scanners and scales.

Who should watch

The session is built for teams running non-GLP discovery in vivo work, particularly those managing studies across spreadsheets or homegrown tools. Study designers, technicians and in vivo leads will each find workflows that reflect their day-to-day work.

Go further

To see how Climb would handle your own study designs, request a one-on-one demo with our in vivo specialists.

John Gard

Senior Marketing Manager, Studienmanagement-Lösungen John Gard ist für das Marketing der Study Management Solutions von Instemverantwortlich und stellt sicher, dass die Kunden über die Tools zur Rationalisierung der präklinischen Arbeitsabläufe informiert sind. Mit dem Schwerpunkt auf klarer Kommunikation und dem Verständnis der Kundenbedürfnisse arbeitet John Gard daran, Forscher mit Lösungen zu verbinden, die ihre Arbeit effizient und effektiv advance .

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