Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology

Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology

Abstract Determining tumor microsatellite status has significant clinical value because tumors that are microsatellite instability-high (MSI-H) or mismatch repair deficient (dMMR) respond well to immune checkpoint inhibitors (ICIs) and oftentimes not to chemotherapeutics. We propose MSI-SEER, a deep...

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Main Authors: Sunho Park, Morgan F. Pettigrew, Yoon Jin Cha, In-Ho Kim, Minji Kim, Imon Banerjee, Isabel Barnfather, Jean R. Clemenceau, Inyeop Jang, Hyunki Kim, Younghoon Kim, Rish K. Pai, Jeong Hwan Park, N. Jewel Samadder, Kyo Young Song, Ji-Youn Sung, Jae-Ho Cheong, Jeonghyun Kang, Sung Hak Lee, Sam C. Wang, Tae Hyun Hwang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01580-8
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https://doi.org/10.1038/s41746-025-01580-8

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