KNIME Data Talks - Lab Data

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.

Save your spot on the event page https://go.knime.com/data-talks-lab-data

Agenda Overview
Welcome
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)
Alice Krebs – KNIME
Mireille Krier – Merck KGaA
Miriam Mathea – BASF SE
Michael Koeppl – Hit Discovery Constance GmbH
Patrick Courtney – SiLA Consortium
Rob Harkness – Biosero