Our latest project with Salvador Flores-Torres and colleagues, we focused on the interactions between tumours and TILs. We brought 3D cultures of patient derived samples and mathematical models together to model TIL swarming and the killing effect. https://t.co/AWiPUaFyry
This week in #MathOnco 256:
evolutionary traps, acquired resistance, clinical trial design, and more...
Art by:
Nikolaos Dimitriou (@NikosDim3)
Sign up here:
https://t.co/RASvJNgCF4
New preprint: We study the integration of multiscale data to improve model predictions, when the sparsity of longitudinal tumor measurements does not allow for a practically identifiable model.
https://t.co/o6DnMGHWgm
Next we have Nikolaos Dimitriou presenting, Investigating sedimentation in 3D cultures with an integrated experimental-computational framework #MathOnco23
Did your 3D cultures turned into 2D? We may have an answer. Check out our latest preprint: https://t.co/L6rpe30ovL
thanks to my co-authors: @mariaiscurious, Salvador Flores-Torres, Matt Kinsella, Georgios Mitsis
#3Dcultures#multiscale_models#Cancer
In our recent study, we focused on the validation of a hybrid model with 3D cell culture data by employing spatial analysis techniques. https://t.co/xAk6xC36Dv
This study focused on the processing of 3D image stacks and the individual cell segmentation for the analysis of their spatial organization. (@SpringerNature)
Happy to share our latest work on cell localization and spatial analysis in 3D cell cultures https://t.co/k1btdPEYG4 (ABME allows me to publicly share the PDF...cool!)
Our latest work combines 3D cell cultures and hybrid spatiotemporal models for the quantification of the spatial organization of cancer and its link with biophysical mechanisms https://t.co/GNpPd3cIlQ
Data processing and analysis is an essential step of mathematical modeling. In our recent work we provide an image processing, segmentation and analysis framework for 3D cell culture data. https://t.co/go1Yp1UOGM