Talk Precision Medicine
Talk Precision Medicine
03 / 01 / 2020 | Tiannan Guo
The most common cancer in men is often over-diagnosed and over-treated. The scientists at Westlake University have developed a mass spectrometry-based approach to fully characterize the proteome of tumor tissues, all in a single data record. Machine learning analysis can then clearly stratify cancer patients by survival probability using a protocol that can potentially be applied to various other diseases.
Tiannan Guo, MD, PhD
Principal Investigator
Guomics Laboratory for Proteomic Big Data, Westlake University
Director
iMarker lab, Westlake Laboratory
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