AI predicts efficacy of breast cancer treatment directly from tumor architecture

Researchers from the University of Helsinki have demonstrated the possibilities of artificial intelligence-based algorithms in predicting the efficacy of a targeted cancer therapy based on the tumor tissue architecture only, without specific molecular tests. The results suggest that AI can reveal previously hidden patterns in tumor samples and allow discovery of novel tumor features predictive of outcome and efficacy of treatment.

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