A thousand and one tumors: the promise of AI for cancer biology
Nat Methods
.
2024 Aug;21(8):1403-1406.
doi: 10.1038/s41592-024-02364-w.
Authors
Joy Linyue Fan
#
1
2
,
Achille Nazaret
#
2
3
,
Elham Azizi
4
5
6
7
8
Affiliations
1
Department of Biomedical Engineering, Columbia University, New York, NY, USA.
2
Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.
3
Department of Computer Science, Columbia University, New York, NY, USA.
4
Department of Biomedical Engineering, Columbia University, New York, NY, USA.
[email protected]
.
5
Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.
[email protected]
.
6
Department of Computer Science, Columbia University, New York, NY, USA.
[email protected]
.
7
Data Science Institute, Columbia University, New York, NY, USA.
[email protected]
.
8
Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
[email protected]
.
#
Contributed equally.
PMID:
39122940
DOI:
10.1038/s41592-024-02364-w
No abstract available
MeSH terms
Artificial Intelligence*
Computational Biology / methods
Humans
Neoplasms* / genetics
Grants and funding
R00CA230195/U.S. Department of Health ; Human Services | NIH | National Cancer Institute (NCI)
R01HG012875/U.S. Department of Health ; Human Services | NIH | National Human Genome Research Institute (NHGRI)
2144542/NSF | ENG/OAD | Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET)
Van C. Mow PhD Fellowship/Columbia University
Avanessians Doctoral Fellowship/Columbia University
Eric ; Wendy Schmidt Center Ph.D. Fellowship/Broad Institute