Time matters when moving and growing fast: predicting glioblastoma prognosis and clinical outcome in a patient-specific manner
We developed a microfluidic assay to enumerate and isolate highly proliferative and motile cells from intratumorally heterogenous population of patient-derived glioblastoma cells. In our Nature BME article, we show that the relative abundance of these cells is predictive of clinical outcomes.
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Bioengineering & Biotechnology
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Life Sciences > Biological Sciences > Biotechnology
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Nature Biomedical Engineering
This journal aspires to become the most prominent publishing venue in biomedical engineering by bringing together the most important advances in the discipline, enhancing their visibility, and providing overviews of the state of the art in each field.
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