Patient-tailored design for selective co-inhibition of leukemic cell subpopulations

Author:

Ianevski Aleksandr12ORCID,Lahtela Jenni1ORCID,Javarappa Komal K.1,Sergeev Philipp1ORCID,Ghimire Bishwa R.1ORCID,Gautam Prson1ORCID,Vähä-Koskela Markus1ORCID,Turunen Laura1ORCID,Linnavirta Nora1ORCID,Kuusanmäki Heikki134,Kontro Mika4ORCID,Porkka Kimmo5ORCID,Heckman Caroline A.1,Mattila Pirkko1ORCID,Wennerberg Krister13ORCID,Giri Anil K.1ORCID,Aittokallio Tero1267ORCID

Affiliation:

1. Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

2. Helsinki Institute for Information Technology (HIIT), Department of Computer Science, Aalto University, Espoo, Finland.

3. Biotech Research and Innovation Centre (BRIC) and Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, Copenhagen, Denmark.

4. Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.

5. Helsinki University Hospital Comprehensive Cancer Center, Hematology Research Unit Helsinki, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland.

6. Institute for Cancer Research, Department of Cancer Genetics, Oslo University Hospital, Oslo, Norway.

7. Centre for Biostatistics and Epidemiology (OCBE), Faculty of Medicine, University of Oslo, Oslo, Norway.

Abstract

Machine learning and single-cell data inform personalized drug combinations that selectively co-inhibit cancer cell populations.

Funder

Helse Sør-Øst RHF

Novo Nordisk Foundation Center for Basic Metabolic Research

Business Finland

Academy of Finland

Finnish Medical Foundation

Sigrid Jusélius Foundation

Cancer Society of Finland

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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