Sorbonne Université
vacanciesin.eu
The main objective of the PhD thesis is to propose novel methods to integrate 3D morphology analysis and correlate the phenotype with the genomic background (phenotype) of different brain tumors, considering different exposure to treatment, the network relationship with different cell types or with the micro-environment and vasculature by using human brain organoids, in vitro 3D shape analysis of human immune cells of different glioma subtypes as well as the iDISCO visualization of different glioma mouse models.
The candidate student will participate to the field of personalized medicine by: (i) providing a methodology to integrate different 3D spatial (and potentially temporal) models to better characterize the relationship of morphology with genomics in brain tumors; (ii) proposing new ways to reconstruct and analyze the 3D structure of different in vitro and ex vivo models and (iii) proposing new ways to take into account the relationship of tabular data (genomics) with 3D imaging.
The domain of application is the management of brain cancer but we will use in addition a broad range of tumors to generalize our results.
The research is multidisciplinary: it associates researchers from health sciences and computer science.
All the details of this project can be found here:
https://soundai.sorbonne-universite.fr/dl/subjects/s/ff30ae/r/c7de1OyfQkGbBWWGBfp93w
The interested students should apply using this website:
https://soundai.sorbonne-universite.fr/dl/for_students
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