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Engineering and computational advances have opened many new avenues in cancer research, particularly when being exploited in interdisciplinary approaches. For example, the combination of microfluidics, novel sequencing technologies, and computational analyses has been crucial to enable single-cell assays, giving a detailed picture of tumor heterogeneity for the very first time. In a similar way, these tech' disciplines have been elementary for generating large data sets in multidimensional cancer omics' approaches, cell-cell interaction screens, 3D tumor models, and tissue level analyses. In this review we summarize the most important technology and computational developments that have been or will be instrumental for transitioning classical cancer research to a large datadriven, high-throughput, high-content discipline across all biological scales.
Bart Deplancke, Riccardo Dainese, Daniel Alpern, Mustafa Demir, Dariia Gudkova
Tamar Kohn, Xavier Fernandez Cassi
Wouter Richard Karthaus, Jillian Rose Love