The Zou Group is excited to announce that a new precision oncology paper published in Nature Communications https://www.nature.com/articles/s41467-024-55251-5. The team leveraged genomics and EHR data of over 78K cancer patients to identify biomarkers that predict cancer treatment response.
Congratulations, team!
The Gevaert Lab has developed SEQUOIA, a transformer model that predicts cancer transcriptomic profiles from whole slide images, enabling cost-effective genetic insights from H&E images. It has been validated across multiple cancer types and shows potential in predicting cancer recurrence risk and spatial gene expression, supporting personalized cancer management. https://www.nature.com/articles/s41467-024-54182-5
The Zou Group is very excited to have a new paper on spatial single-cell aging clocks published in Nature, led by DBDS PhD student Eric Sun.
Read it here: https://www.nature.com/articles/s41586-024-08334-8
“Simple and effective embedding model for single-cell biology built from ChatGPT” from the Zou Group has been published in Nature Biomedical Engineering.
Read it here: https://www.nature.com/articles/s41551-024-01284-6