AI and Data Science
Rapid developments of methods using artificial intelligence (AI), deep learning and data science have enabled major discoveries in cancer research in recent years. This collection presents studies, published in the AACR journals, using these methods to develop technologies for clinical data analyses, prediction of drug responses, analyses of immune responses and the tumor microenvironment and imaging. The collection demonstrates the breadth of advances using these tools and highlights the potential benefits of their applications for cancer patients. Avital (Tali) Lev, PhD, Senior Editor, Cancer Discovery ([email protected]).
In Focus
Irene Dankwa-Mullan; Dilhan Weeraratne
Doi: 10.1158/2159-8290.CD-22-0373
Review
Narmin Ghaffari Laleh; Marta Ligero; Raquel Perez-Lopez; Jakob Nikolas Kather
Doi: 10.1158/1078-0432.CCR-22-0390
Perspective
Jacob Rosenthal; Ryan Carelli; Mohamed Omar; David Brundage; Ella Halbert; Jackson Nyman; Surya N. Hari; Eliezer M. Van Allen; Luigi Marchionni; Renato Umeton; Massimo Loda
Doi: 10.1158/1541-7786.MCR-21-0665