Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma

Spatial omics-based machine learning algorithms for the early detection of hepatocellular carcinoma

Abstract Background Worldwide, hepatocellular carcinoma (HCC) is the second most lethal cancer, although early-stage HCC is amenable to curative treatment and can facilitate long-term survival. Early detection has proved difficult, as proteomics, transcriptomics, and genomics have been unable to dis...

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Main Authors: Mengjun Wang, Stephane Grauzam, Muhammed Furkan Bayram, James Dressman, Andrew DelaCourt, Calvin Blaschke, Hongyan Liang, Danielle Scott, Gray Huffman, Alyson Black, Shaaron Ochoa-Rios, David Lewin, Peggi M. Angel, Richard R. Drake, Lauren Ball, Jennifer Bethard, Stephen Castellino, Yuko Kono, Naoto Kubota, Yujin Hoshida, Lisa Quirk, Adam Yopp, Purva Gopal, Amit Singal, Anand S. Mehta
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-024-00677-7
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https://doi.org/10.1038/s43856-024-00677-7

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