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

(Abstracted from J Clin Oncol 2024;42:3550–3560) The field of precision medicine attempts to treat conditions with combinations that are tailored to the individual and the disease; precision oncology uses techniques to identify molecular defects in tumors and treat them with targeted interventions. For both breast and ovarian cancers, previous literature has shown that homologous recombination deficiency (HRD) can be treated with poly(ADP-ribose) polymerase (PARP) inhibitors and platinum salts.

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Publication Details

Journal
Obstetrical & Gynecological Survey
Published
2025-03-01
DOI
https://doi.org/10.1097/ogx.0000000000001380
Primary Topic
Clusterin in disease pathology
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Erik N. Bergstrom, Ammal Abbasi, Sylvain Ladoire, Scott M. Lippman et al.
Obstetrical & Gynecological Survey
Clusterin in disease pathology
article

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

Erik N. Bergstrom, Ammal Abbasi, Sylvain Ladoire, Scott M. Lippman, Ludmil B. Alexandrov, Loïck Galland, Marcos Díaz‐Gay
article en

Abstract

(Abstracted from J Clin Oncol 2024;42:3550–3560) The field of precision medicine attempts to treat conditions with combinations that are tailored to the individual and the disease; precision oncology uses techniques to identify molecular defects in tumors and treat them with targeted interventions. For both breast and ovarian cancers, previous literature has shown that homologous recombination deficiency (HRD) can be treated with poly(ADP-ribose) polymerase (PARP) inhibitors and platinum salts.

Obstetrical & Gynecological SurveyVol. 80(3)
Openalex Percentile: Top 93%
Clusterin in disease pathology
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