MULTI-SCALE DATA FUSION FOR PRECISION MEDICINE

Friday, October 21, 2016
11:45 AM - 1:15 PM
(Pacific)

The Lee Jung Sen Building, Langrun Yuan, Peking University.

Please bring a photo ID and enter Peking University through the NE Gate.  

Speaker: 
  • Olivier Gevaert

Vast amounts of molecular data characterizing the genome, epi-genome and transcriptome are becoming available for a wide range of cancers. In addition, new computational tools for quantitatively analyzing medical and pathological images are creating new types of phenotypic data.  Now we have the opportunity to integrate the data at molecular, cellular and tissue scale to create a more comprehensive view of key biological processes underlying cancer. This integration can have profound contributions toward predicting diagnosis and treatment. Prof. Gevaert will discuss current work in progress to tackle challenges in biomedical multi-scale data fusion. Olivier Gevaert is an assistant professor at Stanford University focusing on developing machine-learning methods for biomedical decision support from multi-scale biomedical data. 

For registration, please send your name, affiliation, number and event title to: sanjiu39@stanford.edu