Many life science companies have large digitalization initiatives, which include a focus on laboratory data. However, challenges such as inconsistent infrastructures, poor or lacking integration interfaces, and varied personal skill sets make it difficult to both implement these initiatives and realize the promised benefits (e.g. improved experimental reproducibility, reduction in errors, increased productivity, etc.).
In this online event we bring together a group of experts to discuss and demonstrate how KNIME can help to tackle these challenges.
We’ll look at analyzing and integrating diverse data (e.g., images, assay, or spectra), enriching such data through contextualization, and talk about how KNIME can help ease user adoption and facilitate the automation of laboratory processes by integrating laboratory standards.
NOTE: This online event is being held on Thursday April 22, 2021 at 3 PM - 5 PM UTC +2 (Berlin) which is 8 AM - 10 AM UTC -5 (Chicago).
Jeanette Prinz – KNIME
The Value of End-to-End Lab Automation
Rob Harkness – Biosero
How SiLA Supports Open Interoperability in the Laboratory
Patrick Courtney – Standardization in Lab Automation (SiLA) Consortium
Measurement of Cell Density with KNIME and SiLA for Cell-culture
Michael Koeppl – Hit Discovery Constance GmbH
Using KNIME to FAIRify Data
Alice Krebs – KNIME
Chemometrics with KNIME – Analysis of NIR Data
Miriam Mathea – BASF SE
Challenges in Lab Digitization Efforts (Panel Discussion)
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Download the latest free, open source version of KNIME here: knime.com/download