Supporting the entire in vivo workflow from study design to biospecimen results

gritInVivo holds advanced features for the in vivo labs, supporting both the in vivo study design with dosing groups and all in study activities as well as support for the actual "in life" execution and capturing observations and in life measurements.

The application will also keep track of the biospecimen samples created during the study execution and sent to the different analysis departments. If the analysis results are also loaded into the platform they will automatically be linked to the relevant study and animal enabling the in vivo scientists to view both in life observations and biospecimen analysis results together.

Making in vivo studies simple

Planning and running in vivo studies is a complicated endeavour. How many dosing groups? When to dose what groups? When should we take samples and what is the relevant pre-treatment? This is often something the in vivo scientists keep track of in protocols (documents) and complicated excel sheets.

We have a web based UI that can help you keep track of all this information. The user defines the relevant dosing groups, add number of animals per group and the system will set this up.
The user can then define all the relevant activities planned in the study - pretreatment, dosing, sampling etc - and when the actual work should happen. Per group and per animal.

In vivo study design
Configure activities per group, per animal or on some animals in some groups
Capture in life observations and create biospecimen samples
View the results from the biospecimen analysis together with the in life data

Diving into the details

Not only the planning of in vivo studies is complicated - the actual execution also have to be carefully planned in a way where it's in fact doable. Not all animals can be dosed at the same time.
When adding the activities in the study design the users can therefore not only specify at what time the dosing will happen, but also how long time an activity requires. The time schedule will then automatically be adapted accordingly.

If even more fine grained dosing schedules are needed the user can define that an activity should only be performed on some groups, on some animals or on some animals in some groups. Maybe group 1, 3 and 5 will be dosed on day one whereas group 2, 4 and 6 will be dosed on day 2 or similar.
When all activities have been added the user can see the dosing/activity plan on a timeline in a visualisation. Firstly, it gives a nice overview og what needs to heppen when but secondly helps in QC'ing the plan: Does this look correct.

If biospecimen samples are to be taken during the study the platform will keep track of the sample id's linked to the individual animals under the study id. The tracking ensures that - if the bioanalysis results are uploaded to the platform - the results are linked to the correct animals in the relevant study and that the in vivo scientist can see and analyse the results together with the in life data and observations collected during the study execution.

In the words of...

Words of wisdom shared by our esteemed customers, brilliant collaborators, and valued partners.

grit42 has given our project team access to enterprise level software tools for data management, archiving and analysis which are uniquely able to work with discovery, clinical and clinical data sets in an interoperable environment.

They are a great company and we are very proud to collaborate with them to try and improve the process of antibiotic drug discovery through the implementation of FAIR data management and tools.

Philip Gribbon

Head of Discovery Research at Fraunhofer ITMP

Grit42 is providing the IMI ERA4TB project with innovative, flexible data management solutions that greatly facilitate the handling of the variety of complex drug discovery and development datasets needed to support world-class TB research.

Carlos Diaz

Founder & CEO, Synapse Research Management

Based on our experience and the ability to organize all data types in a consistent fashion, this platform can be a key tool for any researcher to address key scientific questions within the areas of drug development and translational research activities.

Patrick O'Meara

Data Team Manager, C-Path

As our research in Nucleic acid-based medicine involves data generation from biological and in silico experiments, both from several different sources, it is of utmost importance that our data consolidation process is streamlined and that the stored data is easily accessible, which is what we get with grit42.

Søren Rasmussen

Director Neuroscience Discovery, Contera Pharma

We see a great potential in applying state-of-the-art data management and data integration to leverage our R&D activities and improve our decision making. To strengthen these capabilities, we selected grit42 as our strategic software partner.

Thorsten Thormann

VP of Research, LEO Pharma

For identification of phenotypes of mutants, we use the high-throughput phenotypic microarrays from OmniLog®. The Growth Curves app from grit42 offers a nice and interactive way to analyse this data as well as making our analysis workflow 15 times faster!

Michael Mourez

Bacterial Infections Group Head at EVOTEC