@peoplecentredai.bsky.social PAI's Professor Miroslaw Bober will be presenting the work. @uniofsurrey.bsky.social

We introduce TRex — a two‑stage framework that adapts static SSL features to biologically meaningful tasks like MoA classification. It doubles mAP (0.15→0.32), improves compound recognition — all without retraining large models.

Looking forward to the discussions!

This was a successful partnership between @cvssp_research and @ForecomAI

This technique can rapidly identify the subcellular localisation of proteins of interest in images, streamlining high throughput screening for various applications including the study of tumour heterogeneity, identification of disease and toxicity biomarkers, and drug discovery.