dc.contributor.author
Barillot, Emmanuel
dc.date.accessioned
2026-02-14T02:20:30Z
dc.date.available
2026-02-14T02:20:30Z
dc.date.issued
2021-11-25
dc.identifier
Barillot, E. Multi-omics and artificial intelligence to fight cancer. A: Severo Ochoa Research Seminars at BSC. «Research Seminar Lectures at BSC, Barcelona, 2021-22». Barcelona: Barcelona Supercomputing Center, 2021, p. 24-25.
dc.identifier
https://hdl.handle.net/2117/455145
dc.identifier.uri
http://hdl.handle.net/2117/455145
dc.description.abstract
We now have many modalities to explore the tumor and its environment: many types of omics, imaging, clinical records... One burning question is to convert this heap of data into knowledge useful in clinics. This requires ad hoc algorithms which are capturing the underlying biological nature of the data while being computationally efficient which means keeping a reasonable level of complexity.
I will present some examples of our research in that direction: -How to reconstruct evolutionary path from clinical data? -How to integrate multi-omics to gain biological insights and clinical perspectives in a devastating pediatric disease: medulloblastoma. -How to model the spatial dimension of the tumor, a critical though neglected aspect of cancer.
dc.format
application/pdf
dc.publisher
Barcelona Supercomputing Center
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject
High performance computing
dc.subject
Càlcul intensiu (Informàtica)
dc.title
Multi-omics and artificial intelligence to fight cancer
dc.type
Conference report
