Charlotte's paper embedding on EMR in knowledge networks for early MS diagnosis was accepted to Oxford Academic!

PhD candidate Charlotte Nelson just had a paper accepted by Oxford Academic! She was able to incorporate clnical EMR data within SPOKE for nearly six thousand patients! From her embeddings, Charlotte built a model to predict disease status and found the SPOKEsigs were able to outperform EMR alone in predicting disease status. A particularly exciting claim in her paper: "We provide a clinical use case for detecting MS up to 5 years prior to their documented diagnosis in the clinic and illustrate the biological features that distinguish the prodromal MS state."

Congrats to Charlotte! You can read her paper in full here: