Leveraging advances in immunopathology and artificial intelligence to analyze in vitro tumor models in composition and space

Tze Ker Matthew Leong, Wen Shern Lo, Wei En Zen Lee,Benedict Tan, Xing Zhao Lee,Li Wen Justina Nadia Lee,Jia-Ying Joey Lee,Nivedita Suresh,Lit-Hsin Loo, Evan Szu,Joe Yeong

Advanced Drug Delivery Reviews（2021）

Cited 0|Views1

No score

Abstract

•The TME plays a key role in cancer biology and treatment.•In vitro tumor models can mimic the TME to study cancer, but need to be improved.•AI is primed to analyze the data output from tumor models.•AI can characterize the cellular and spatial composition of the TME.•AI can identify novel features and higher order relationships.

Translated text

Key words

Machine learning,Deep learning,Tumor models,Immunohistochemistry,Digital pathology,Tumor microenvironment

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined