Integrating context for superior cancer prognosis
Nat Biomed Eng
.
2022 Dec;6(12):1323-1325.
doi: 10.1038/s41551-022-00924-z.
Authors
Guillaume Jaume
1
2
3
4
,
Andrew H Song
1
2
3
4
,
Faisal Mahmood
5
6
7
8
9
Affiliations
1
Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
2
Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
3
Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
4
Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA.
5
Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.
6
Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.
7
Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA. faisalmahmood@bwh.harvard.edu.
8
Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.
9
Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA. faisalmahmood@bwh.harvard.edu.
PMID:
35982332
DOI:
10.1038/s41551-022-00924-z
No abstract available
Publication types
Comment
MeSH terms
Humans
Lung Neoplasms*
Prognosis