Scholars@Duke

Abstract 2758: PAX3/7::FOXO1 fusion detection and transcriptomic prediction from whole-slide images of rhabdomyosarcoma using attention-based deep learning frameworks: A multi-institutional study.

Conferences
Ziaei, D; Jung, H; Lupo, PJ; Sok, P; Shern, JF; Linardic, CM; Bukhari, SA; Chou, H-C; Wei, JS; Lisle, C; Mudunuri, U; Khan, J
Published in: Cancer Research
April 3, 2026
Published version (DOI) Publisher Link

Duke Scholars

Corinne Mary Linardic
Author Corinne Mary Linardic Pediatrics, Hematology-Oncology
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Published In

Cancer Research

DOI

10.1158/1538-7445.am2026-2758

EISSN

1538-7445

ISSN

0008-5472

Publication Date

April 3, 2026

Volume

86

Issue

7_Supplement

Start / End Page

2758 / 2758

Publisher

American Association for Cancer Research (AACR)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology
 

Citation

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Ziaei, D., Jung, H., Lupo, P. J., Sok, P., Shern, J. F., Linardic, C. M., … Khan, J. (2026). Abstract 2758: PAX3/7::FOXO1 fusion detection and transcriptomic prediction from whole-slide images of rhabdomyosarcoma using attention-based deep learning frameworks: A multi-institutional study. In Cancer Research (Vol. 86, pp. 2758–2758). American Association for Cancer Research (AACR). https://doi.org/10.1158/1538-7445.am2026-2758
Ziaei, Dorsa, Hyun Jung, Philip J. Lupo, Pagna Sok, Jack F. Shern, Corinne M. Linardic, Syed Abbas Bukhari, et al. “Abstract 2758: PAX3/7::FOXO1 fusion detection and transcriptomic prediction from whole-slide images of rhabdomyosarcoma using attention-based deep learning frameworks: A multi-institutional study.” In Cancer Research, 86:2758–2758. American Association for Cancer Research (AACR), 2026. https://doi.org/10.1158/1538-7445.am2026-2758.
Ziaei D, Jung H, Lupo PJ, Sok P, Shern JF, Linardic CM, et al. Abstract 2758: PAX3/7::FOXO1 fusion detection and transcriptomic prediction from whole-slide images of rhabdomyosarcoma using attention-based deep learning frameworks: A multi-institutional study. In: Cancer Research. American Association for Cancer Research (AACR); 2026. p. 2758–2758.
Ziaei, Dorsa, et al. “Abstract 2758: PAX3/7::FOXO1 fusion detection and transcriptomic prediction from whole-slide images of rhabdomyosarcoma using attention-based deep learning frameworks: A multi-institutional study.” Cancer Research, vol. 86, no. 7_Supplement, American Association for Cancer Research (AACR), 2026, pp. 2758–2758. Crossref, doi:10.1158/1538-7445.am2026-2758.
Ziaei D, Jung H, Lupo PJ, Sok P, Shern JF, Linardic CM, Bukhari SA, Chou H-C, Wei JS, Lisle C, Mudunuri U, Khan J. Abstract 2758: PAX3/7::FOXO1 fusion detection and transcriptomic prediction from whole-slide images of rhabdomyosarcoma using attention-based deep learning frameworks: A multi-institutional study. Cancer Research. American Association for Cancer Research (AACR); 2026. p. 2758–2758.

Published In

Cancer Research

DOI

10.1158/1538-7445.am2026-2758

EISSN

1538-7445

ISSN

0008-5472

Publication Date

April 3, 2026

Volume

86

Issue

7_Supplement

Start / End Page

2758 / 2758

Publisher

American Association for Cancer Research (AACR)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 3101 Biochemistry and cell biology