Integrating artificial intelligence and in-silico modeling to redefine therapeutic strategies for peritoneal seeding: A disulfiram repurposing concept

Authors

  • Jieun Yang Department of Internal Medicine, Jeju National University Hospital, Jeju-si, Jeju-do, Republic of Korea
  • Ji Eun Park Department of Internal Medicine, Jeju National University Hospital, Jeju-si, Jeju-do, Republic of Korea
  • Sanghoon Han Jeju National University College of Medicine

DOI:

https://doi.org/10.12669/pjms.42.6.16393

Keywords:

Artifical Intelligence, Disulfiram, peritoneal metastasis, PIPAC, In-silico modeling

Abstract

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Published

2026-06-03

How to Cite

Yang, J., Park, J. E., & Han, S. (2026). Integrating artificial intelligence and in-silico modeling to redefine therapeutic strategies for peritoneal seeding: A disulfiram repurposing concept. Pakistan Journal of Medical Sciences, 42(6), 1585–1586. https://doi.org/10.12669/pjms.42.6.16393

Issue

Vol. 42 No. 6 (2026): June (Part-I) 2026

Section

Correspondence