Artificial intelligence for drug response prediction in disease models

Brief Bioinform. 2022 Jan 17;23(1):bbab450. doi: 10.1093/bib/bbab450.

Pedro J Ballester^{1

2

3

4}, Rick Stevens^{5

6}, Benjamin Haibe-Kains^{7

8

9

10

11

12}, R Stephanie Huang¹³, Tero Aittokallio^{14

15

16}

¹ Cancer Research Center of Marseille, INSERM U1068, F-13009 Marseille, France.
² Institut Paoli-Calmettes, F-13009 Marseille, France.
³ Aix-Marseille Université UM105, F-13009 Marseille, France.
⁴ CNRS UMR7258, F-13009 Marseille, France.
⁵ Computing, Environment and Life Sciences, Argonne National Laboratory, Lemont IL, 60439, USA.
⁶ Department of Computer Science, University of Chicago, Chicago IL 60637, USA.
⁷ Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
⁸ Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
⁹ Department of Computer Science, University of Toronto, Toronto, Ontario, Canada.
¹⁰ Ontario Institute of Cancer Research, Toronto, Ontario, Canada.
¹¹ Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada.
¹² Dalla Lana School of Public Health, Toronto, Ontario, Canada.
¹³ Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN 55455 USA.
¹⁴ Institute for Molecular Medicine Finland (FIMM), Nordic EMBL Partnership for Molecular Medicine, HiLIFE, University of Helsinki, Finland.
¹⁵ Institute for Cancer Research (ICR), Oslo University Hospital, Oslo, Norway.
¹⁶ Oslo Centre for Biostatistics and Epidemiology (OCBE), University of Oslo, Oslo, Norway.

No abstract available

MeSH terms