Methylomic Matters is a podcastseries by the METHYLOMIC project: a program committed to bringing personalised treatment-selection in Crohn’s disease and other immune-mediated inflammatory diseases to clinical practice. In this podcastseries our host Dr. Vincent Joustra discusses several topics on DNA-methylation, machine based learning and how to bring these techniques to clinical practice.
In the third episode of METHYLOMIC matters we delve into the intricate machine learning methodology behind the successful prediction models developed by HORAIZON’s founder and CEO, dr. Evgeni Levin. We explore essential elements of the methodology, comparing linear and non-linear models, emphasizing the significance of multivariate models, and addressing strategies for mitigating overfitting. Furthermore, we delve into the prospective clinical applications of these models and their ultimate integration into clinical practice. All this and more in the third episode of METHYLOMIC matters!
Listen to the podcast
You can listen to the METHYLOMIC podcast through one of the below podcast channels: