DeepHRD predicts HRD from routine biopsy slides

Elvina Almuradova, Medical Oncologist Ambassador at European School of Oncology, shared a post on X, about recent paper published in Journal of Clinical Oncology:

Deep Learning Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic Slides.

Authors: Erik N. Bergstrom, Ammal Abbasi, Marcos Díaz-Gay, Loïck Galland, Sylvain Ladoire, Scott M. Lippman, Ludmil B. Alexandrov.

”DeepHRD, a new AI tool, predicts homologous recombination deficiency from routine biopsy slides. In studies, it outperformed traditional tests, predicting better outcomes for breast and ovarian cancer patients.”

Source: Elvina Almuradova/X