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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

Artificial Intelligence and Machine Learning Technologies in Cancer Care: Addressing Disparities, Bias, and Data Diversity

Irene Dankwa-Mullan; Dilhan Weeraratne

Doi: 10.1158/2159-8290.CD-22-0373

Review

Facts and Hopes on the Use of Artificial Intelligence for Predictive Immunotherapy Biomarkers in Cancer

Narmin Ghaffari Laleh; Marta Ligero; Raquel Perez-Lopez; Jakob Nikolas Kather

Doi: 10.1158/1078-0432.CCR-22-0390

Perspective

Building Tools for Machine Learning and Artificial Intelligence in Cancer Research: Best Practices and a Case Study with the PathML Toolkit for Computational Pathology

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

Bodong Liu; Yanting Zhu; Zhenye Yang; Helen H.N. Yan; Suet Yi Leung; Jue Shi
Ino de Bruijn; Ritika Kundra; Brooke Mastrogiacomo; Thinh Ngoc Tran; Luke Sikina; Tali Mazor; Xiang Li; Angelica Ochoa; Gaofei Zhao; Bryan Lai; Adam Abeshouse; Diana Baiceanu; Ersin Ciftci; Ugur Dogrusoz; Andrew Dufilie; Ziya Erkoc; Elena Garcia Lara; Zhaoyuan Fu; Benjamin Gross; Charles Haynes; Allison Heath; David Higgins; Prasanna Jagannathan; Karthik Kalletla; Priti Kumari; James Lindsay; Aaron Lisman; Bas Leenknegt; Pieter Lukasse; Divya Madela; Ramyasree Madupuri; Pim van Nierop; Oleguer Plantalech; Joyce Quach; Adam C. Resnick; Sander Y.A. Rodenburg; Baby A. Satravada; Fedde Schaeffer; Robert Sheridan; Jessica Singh; Rajat Sirohi; Selcuk Onur Sumer; Sjoerd van Hagen; Avery Wang; Manda Wilson; Hongxin Zhang; Kelsey Zhu; Nicole Rusk; Samantha Brown; Jessica A. Lavery; Katherine S. Panageas; Julia E. Rudolph; Michele L. LeNoue-Newton; Jeremy L. Warner; Xindi Guo; Haley Hunter-Zinck; Thomas V. Yu; Shirin Pilai; Chelsea Nichols; Stuart M. Gardos; John Philip; AACR Project GENIE BPC Core Team, AACR Project GENIE Consortium; Kenneth L. Kehl; Gregory J. Riely; Deborah Schrag; Jocelyn Lee; Michael V. Fiandalo; Shawn M. Sweeney; Trevor J. Pugh; Chris Sander; Ethan Cerami; Jianjiong Gao; Nikolaus Schultz
Matthew Davis; Kit Simpson; Leslie A. Lenert; Vanessa Diaz; Alexander V. Alekseyenko
Kianoush Falahkheirkhah; Sudipta S. Mukherjee; Sounak Gupta; Loren Herrera-Hernandez; Michael R. McCarthy; Rafael E. Jimenez; John C. Cheville; Rohit Bhargava
Michal Kazmierski; Mattea Welch; Sejin Kim; Chris McIntosh; Katrina Rey-McIntyre; Shao Hui Huang; Tirth Patel; Tony Tadic; Michael Milosevic; Fei-Fei Liu; Adam Ryczkowski; Joanna Kazmierska; Zezhong Ye; Deborah Plana; Hugo J.W.L. Aerts; Benjamin H. Kann; Scott V. Bratman; Andrew J. Hope; Benjamin Haibe-Kains
Georges Bedran; Hans-Christof Gasser; Kenneth Weke; Tongjie Wang; Dominika Bedran; Alexander Laird; Christophe Battail; Fabio Massimo Zanzotto; Catia Pesquita; Håkan Axelson; Ajitha Rajan; David J. Harrison; Aleksander Palkowski; Maciej Pawlik; Maciej Parys; J. Robert O'Neill; Paul M. Brennan; Stefan N. Symeonides; David R. Goodlett; Kevin Litchfield; Robin Fahraeus; Ted R. Hupp; Sachin Kote; Javier A. Alfaro
Zachariah H. Foda; Akshaya V. Annapragada; Kavya Boyapati; Daniel C. Bruhm; Nicholas A. Vulpescu; Jamie E. Medina; Dimitrios Mathios; Stephen Cristiano; Noushin Niknafs; Harry T. Luu; Michael G. Goggins; Robert A. Anders; Jing Sun; Shruti H. Meta; David L. Thomas; Gregory D. Kirk; Vilmos Adleff; Jillian Phallen; Robert B. Scharpf; Amy K. Kim; Victor E. Velculescu
Tim Heinemann; Christoph Kornauth; Yannik Severin; Gregory I. Vladimer; Tea Pemovska; Emir Hadzijusufovic; Hermine Agis; Maria-Theresa Krauth; Wolfgang R. Sperr; Peter Valent; Ulrich Jäger; Ingrid Simonitsch-Klupp; Giulio Superti-Furga; Philipp B. Staber; Berend Snijder
Chengyue Wu; Angela M. Jarrett; Zijian Zhou; Nabil Elshafeey; Beatriz E. Adrada; Rosalind P. Candelaria; Rania M.M. Mohamed; Medine Boge; Lei Huo; Jason B. White; Debu Tripathy; Vicente Valero; Jennifer K. Litton; Clinton Yam; Jong Bum Son; Jingfei Ma; Gaiane M. Rauch; Thomas E. Yankeelov
Trevor J. Pugh; Jonathan L. Bell; Jeff P. Bruce; Gary J. Doherty; Matthew Galvin; Michelle F. Green; Haley Hunter-Zinck; Priti Kumari; Michele L. Lenoue-Newton; Marilyn M. Li; James Lindsay; Tali Mazor; Andrea Ovalle; Stephen-John Sammut; Nikolaus Schultz; Thomas V. Yu; Shawn M. Sweeney; Brady Bernard; for the AACR Project GENIE Consortium, Genomics and Analysis Working Group
Ajit J. Nirmal; Zoltan Maliga; Tuulia Vallius; Brian Quattrochi; Alyce A. Chen; Connor A. Jacobson; Roxanne J. Pelletier; Clarence Yapp; Raquel Arias-Camison; Yu-An Chen; Christine G. Lian; George F. Murphy; Sandro Santagata; Peter K. Sorger
Elizabeth A. Coker; Adam Stewart; Bugra Ozer; Anna Minchom; Lisa Pickard; Ruth Ruddle; Suzanne Carreira; Sanjay Popat; Mary O'Brien; Florence Raynaud; Johann de Bono; Bissan Al-Lazikani; Udai Banerji
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