Building a two-way street between cell biology and machine learning

Caroline Uhler

doi:10.1038/s41556-023-01279-6

Building a two-way street between cell biology and machine learning

Nat Cell Biol. 2024 Jan;26(1):13-14. doi: 10.1038/s41556-023-01279-6.

Author

Caroline Uhler^{1

2

3}

Affiliations

¹ Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, Cambridge, MA, USA. [email protected].
² Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA. [email protected].
³ Institute for Data, Systems, and Society, MIT, Cambridge, MA, USA. [email protected].

PMID: 38228823
PMCID: PMC11444754
DOI: 10.1038/s41556-023-01279-6

Abstract

With biomedical sciences quickly outgrowing many other application areas in terms of data generation, there is a unique opportunity for life sciences to become one of the greatest beneficiaries of research in machine learning and AI, and also inspire foundational developments in it.

MeSH terms

Cell Biology*
Machine Learning*

Grants and funding

DP2 AT012345/AT/NCCIH NIH HHS/United States
N00014-22-1-2116/United States Department of Defense | United States Navy | Office of Naval Research (ONR)
1DP2AT012345/U.S. Department of Health & Human Services | NIH | National Center for Complementary and Integrative Health (NCCIH)
Simons Investigator Award/Simons Foundation