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DeepHRD predicts HRD from routine biopsy slides

Photo from Erik Bergstrom/LinkedIn

Aug 6, 2024, 14:09

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.

Elvina Almuradova

”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

Ammal Abbasi Breast Cancer cancer Elvina Almuradova Erik N. Bergstrom European School of Oncology homologous recombination deficiency Journal of Clinical Oncology Loïck Galland Ludmil B. Alexandrov Marcos Díaz-Gay OncoDaily Oncology Ovarian Cancer Scott M. Lippman Sylvain Ladoire

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