Excited to share our recent paper, ”Compressing Biology,” to be presented at the Imageomics workshop at NeurIPS 2025. 🔬💻 Work led by my amazing PhD student Télio Cropsal. #cellpainting #stablediffusion #imageomics arxiv.org/abs/2510.19887

And Part II of our Metabolite Identification (MetID) Data in Drug Discovery is out: pubs.acs.org/doi/10.1021/... Here we explore application of MetID proprietary data to expand the capacity of site-of-metabolism (SoM) #ML models. The paper and SoM data are both #openacess. #Zenodo #ADME

Our paper on metabolite identification (MetID) data generation and trend analysis is now live and #openacess in Mol. Pharmaceutics @acs.org. In addition, we share proprietary MetID schemes for 120 compounds on #Zenodo. Link: pubs.acs.org/doi/10.1021/... Stay tuned for Part II! #dmpk #openscience

Pleased to announce that our research on LAGOM, a transformer-based model for predicting chemical structures of potential drug metabolites, has been published in Artificial Intelligence in the Life Sciences. #compchem #chemsky

Excited to share that our paper "LAGOM: A transformer-based chemical language model for drug metabolite prediction" has been accepted in AILSCI! doi.org/10.1016/j.ai... Work led by Sofia Larsson and Miranda Carlsson, with @rbeckmann.bsky.social and Filip Miljković‬ (AZ)! #compchem #chemsky