Sunday, January 18, 2026

Predictive modeling for metastasis in oncology: current methods and future directions.

Authors: Abbas GH, Khouri ER, Thaher O, Taha S, Vladimirov M, Oviedo RJ, Schmidt J, Bausch D, Pouwels S.

DOI: 10.1097/ms9.0000000000003279

Abstract Summary

Machine learning and AI are transforming cancer care by predicting metastasis risk through analysis of clinical, genomic, and imaging data. While techniques like neural networks and radiomics show promise for personalized treatment strategies, challenges remain in data quality and model interpretability. Future advances in deep learning and multi-omics integration aim to revolutionize early detection and precision oncology.

Why Brain? 🧠

AI-powered models predict cancer spread using genomics and imaging, improving early detection and personalized treatment. Future advances in deep learning promise more accurate metastasis forecasting.

License: CC BY.


The image is AI-generated for illustrative purposes only. Courtesy of Midjourney.

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