Evosep Webinar
Assay Development for translational and research applications
Available on demand
Robustness, reproducibility, and scalability are becoming increasingly important as proteomics workflows move closer to clinical applications.
In this webinar, we will explore how the Evosep Eno supports the development of robust assays through standardized, high-throughput LC–MS workflows. Join us to learn how reproducible performance, streamlined operation, and scalable proteomics methods can help accelerate the transition from discovery research to real-world applications.
Robust Data from Evosep Eno coupled to Exploris 480 for the Development of Assays
Talk by Giles Drinkwater, Researcher at OXcan Analytics
Models derived from machine learning approaches possess enormous potential. At OXcan we create reliable machine learning models using training data sets generated from LC-MS data. A good model is accurate, reliable, and resistant to overfitting. In order to achieve this performance, the clinical and control data must have enough features and be sufficiently robust to allow the model to generate features with a high degree of confidence.
Accepting that there is a pressing need to create reliable proteomic data, to facilitate the training of machine learning models, we will discuss our workflow for generating robust data from digested plasma samples. The workflow leverages the performance capabilities of our Evosep Eno LC system coupled to a Thermo Exploris MS. This LC-MS platform gives us reproducible data, with the throughput required for the development of our machine learning derived assays.
