37P Fix the data, not the model: LMIC challenges in AI for precision oncology

reclassification provides a rationale to include these patients in genotype-guided precision oncology trials, potentially expanding eligibility for DDR-targeting therapies.

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Publication Details

Journal
ESMO Open
Published
2026-04-01
DOI
https://doi.org/10.1016/j.esmoop.2026.106141
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

37P Fix the data, not the model: LMIC challenges in AI for precision oncology

R. Parimkayala, R. Digumarti, Vishal Toka, H. Parupalli et al.
ESMO Open
Artificial Intelligence in Healthcare and Education
article

37P Fix the data, not the model: LMIC challenges in AI for precision oncology

R. Parimkayala, R. Digumarti, Vishal Toka, H. Parupalli, K.C. Puligundla
article en

Abstract

reclassification provides a rationale to include these patients in genotype-guided precision oncology trials, potentially expanding eligibility for DDR-targeting therapies.

ESMO OpenVol. 11
MNJ Institute Of Oncology and Regional Cancer Centre (IN)
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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37P Fix the data, not the model: LMIC challenges in AI for precision oncology — R. Parimkayala, R. Digumarti, et al. · ESMO Open (2026) | TGRS Research Map | TGRS