This paper is in the following e-collection/theme issue:

Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data (5) Genomics and Bioinformatics for Clinical Use (36) AI applications in genomics and pathology informatics, including ‘Generative AI’ (11) Cancer genomic data analysis (3) Machine Learning (1685) Cancer Prognosis Models and Machine Learning (21) Clinical Cancer Research (94) Innovations in Cancer Diagnostic and Decision Support (70)

Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56538, first published .
Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation

Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation

Deep Learning–Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation

Authors of this article:

Ananya Raghu1 Author Orcid Image ;   Anisha Raghu1 Author Orcid Image ;   Jillian F Wise2, 3, 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics Author Video

Journals

  1. Dooley A, Bowden A, Whatling H, Watkins J, Greef B. Genomics in Cancer of Unknown Primary: Utility in Modern Clinical Practice. Clinical Oncology 2025;41:103793 View