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Review
. 2021 Jun 4;7(23):eabi5904.
doi: 10.1126/sciadv.abi5904. Print 2021 Jun.

Decoding the dynamic tumor microenvironment

Aaron Clauset  1   2   3 , Kian Behbakht  4   5   6 , Benjamin G Bitler  7   6
Affiliations
Review

Decoding the dynamic tumor microenvironment

Aaron Clauset et al. Sci Adv. .

Abstract

An opportunity to improve cancer outcomes with machine learning.

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Figures

Fig. 1
Fig. 1. Decoding cancer therapy–induced remodeling via machine learning.
Anticancer therapy significantly remodels the tumor microenvironment (TME). The extent of remodeling can be quantified through multiple biomolecular techniques. Applying machine learning and network analysis to clinical data and complex multiomic datasets has the potential to reshape our ability to anticipate clinical and therapeutic outcomes. Credit: Kellie Holoski/Science Advances.
See this image and copyright information in PMC

References

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