Additionally, with an NLP-based clustering pipeline, BERTopic, assay description-based embeddings can be grouped into topics -with different levels of specificity-allowing for a new way of describing and grouping related biological assays. Using this form of neural topic modeling, biological context can be added in an easily understandable way and can be employed for bioactivity modeling. In cases where the experimental design influences the bioactivity outcome, the inclusion of assay context might improve performance by removing unexplained variance or by predicting the effect at different readout levels.