On the 18th and 19th of March, the 2nd Nordic Conference on Computational Chemistry was held in Gothenburg. The conference program was diverse and included many engaging talks focused on machine learning tools and approaches used in drug development.
Although our group primarily focuses on environmental contaminants, we found many of the presentations and discussions highly relevant to our research. The chemical space, data pretreatment, splitting techniques, and model output interpretation were commonly discussed in many presentations. It was also fascinating to gain insights into the specific challenges associated with drug development.
Additionally, Henrik, Yvonne, Iris, and Eliise had the opportunity to present posters on their latest work, which can be found here. The conference concluded with a brief tour of AstraZeneca’s main building.
