Predicting anti-PD-1 immune checkpoint blockade response in melanoma patients with spatially aware machine learning models

Abstract There is an acute need to accurately identify patients with advanced melanoma who are most likely to respond to anti-PD1 immune checkpoint blockade (ICB) therapy. While anti-PD1 therapy can be highly effective in advanced melanoma patients, only 30-40% of patients respond well. In this stud...

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Bibliografiske detaljer

Principais autores:	Alyssa Pybus, Raphael Kirchgaessner, Jonathan Nguyen, Carlos Moran Segura, Paulo Cilas Morais Lyra, Trevor Rose, Jhanelle Gray, Jeremy Goecks, Joseph Markowitz
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2026-01-01
Serier:	npj Precision Oncology
Online adgang:	https://doi.org/10.1038/s41698-025-01250-8
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