Fereydoun Hormozdiari

Nov 21, 2024 | nature.com | Mehran Karimzadeh |Helen Li |Olivier Elemento |James Zou |Fereydoun Hormozdiari |Babak Alipanahi

AbstractLiquid biopsies have the potential to revolutionize cancer care through non-invasive early detection of tumors. Developing a robust liquid biopsy test requires collecting high-dimensional data from a large number of blood samples across heterogeneous groups of patients. We propose that the generative capability of variational auto-encoders enables learning a robust and generalizable signature of blood-based biomarkers.