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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Ngā kaituhi matua:	Alyssa Pybus, Raphael Kirchgaessner, Jonathan Nguyen, Carlos Moran Segura, Paulo Cilas Morais Lyra, Trevor Rose, Jhanelle Gray, Jeremy Goecks, Joseph Markowitz
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Nature Portfolio 2026-01-01
Rangatū:	npj Precision Oncology
Urunga tuihono:	https://doi.org/10.1038/s41698-025-01250-8
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!