Artificial Intelligence in Tumor Microenvironment Research: Hype, Hope, or Both? Artificial Intelligence in Tumor Microenvironment

Ayesha Yousuf; Fatima Ali

Authors

Ayesha Yousuf University of the Punjab, Lahore, Pakistan Author
Fatima Ali University of ROME, Italy Author

Keywords:

Artificial Intelligence, Tumor Microenvironment, Deep Learning

Abstract

Tumor microenvironment (TME) is a dynamic and heterogeneous niche, which comprises of tumor cells, immune influx, stromal components and extracellular matrix fragments. Its space and molecular complexity pose a significant challenge to the conventional methods of analysis. The artificial intelligence (AI) can learn trends in big amounts of data which is the solution to this complexity. AI models can identify hidden morphological data, multi-omics, and clinical outcomes and thus provide a systems-level understanding of the TME. The integration of digital pathology results and AI is promising in predicting the presence of immune cells and patient prognosis, suggesting an indispensable role of AI in the future of cancer biology.

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Author Biographies

Ayesha Yousuf, University of the Punjab, Lahore, Pakistan

School of Biochemistry and Biotechnology

https://orcid.org/0009-0001-3666- 8219
Fatima Ali, University of ROME, Italy

School of Molecular Pathology

https://orcid. org/0009- 0004-1921- 4532

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Artificial Intelligence in Tumor Microenvironment Research: Hype, Hope, or Both?