The Hallmarks of Predictive Oncology

Akshat Singhal; Xiaoyu Zhao; Patrick Wall; Emily So; Guido Calderini; Alexander Partin; Natasha Koussa; Priyanka Vasanthakumari; Oleksandr Narykov; Yitan Zhu; Sara E Jones; Farnoosh Abbas-Aghababazadeh; Sisira Kadambat Nair; Jean-Christophe Bélisle-Pipon; Athmeya Jayaram; Barbara A Parker; Kay T Yeung; Jason I Griffiths; Ryan Weil; Aritro Nath; Benjamin Haibe-Kains; Trey Ideker

doi:10.1158/2159-8290.CD-24-0760

The Hallmarks of Predictive Oncology

Cancer Discov. 2025 Jan 6:OF1-OF15. doi: 10.1158/2159-8290.CD-24-0760. Online ahead of print.

Authors

Akshat Singhal¹, Xiaoyu Zhao², Patrick Wall³, Emily So⁴, Guido Calderini^{5

6}, Alexander Partin⁷, Natasha Koussa⁸, Priyanka Vasanthakumari⁷, Oleksandr Narykov⁷, Yitan Zhu⁷, Sara E Jones⁸, Farnoosh Abbas-Aghababazadeh⁴, Sisira Kadambat Nair⁴, Jean-Christophe Bélisle-Pipon⁵, Athmeya Jayaram⁹, Barbara A Parker¹⁰, Kay T Yeung¹⁰, Jason I Griffiths¹¹, Ryan Weil⁸, Aritro Nath¹¹, Benjamin Haibe-Kains^{4

12

13

14}, Trey Ideker^{1

2

3

10}

Affiliations

¹ Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California.
² Division of Human Genomics and Precision Medicine, Department of Medicine, University of California, San Diego, La Jolla, California.
³ Department of Bioengineering, University of California, San Diego, La Jolla, California.
⁴ Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
⁵ Faculty of Health Science, Simon Fraser University, Burnaby, Canada.
⁶ École de santé publique, Université de Montréal, Montréal, Canada.
⁷ Division of Data Science and Learning, Argonne National Laboratory, Lemont, Illinois.
⁸ Cancer Data Science Initiatives, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
⁹ The Hastings Center, Garrison, New York.
¹⁰ Department of Medicine, Moores Cancer Center, University of California, San Diego, La Jolla, California.
¹¹ Department of Medical Oncology and Therapeutics Research, Beckman Research Institute, City of Hope National Medical Center, Monrovia, California.
¹² Medical Biophysics, University of Toronto, Toronto, Canada.
¹³ Vector Institute for Artificial Intelligence, Toronto, Canada.
¹⁴ Department of Biostatistics, Dalla Lana School of Public Health, Toronto, Canada.

PMID: 39760657
DOI: 10.1158/2159-8290.CD-24-0760

Abstract

As the field of artificial intelligence evolves rapidly, these hallmarks are intended to capture fundamental, complementary concepts necessary for the progress and timely adoption of predictive modeling in precision oncology. Through these hallmarks, we hope to establish standards and guidelines that enable the symbiotic development of artificial intelligence and precision oncology.

Abstract

Grants and funding