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Predicting Melanoma Immunotherapy Efficacy: Neural Network Models with Gene Expression and Clinical Data

2024-05-17

Abstract excerpt

Immunotherapy, particularly Immune Checkpoint Blockade (ICB), has demonstrated significant efficacy in treating melanoma in recent years. However, accurately predicting treatment success and avoiding ineffective therapies remains an unresolved challenge. Therefore, this study aims to develop statistical models utilizing neural networks to forecast the effectiveness of immune checkpoint therapies for melanoma patie...

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Literature Corpus work
96b82271-426c-5af4-96ea-4dd11281fe4f
DOI
10.20944/preprints202405.1160.v1
Open publication

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Predicting Melanoma Immunotherapy Efficacy: Neural Network Models with Gene Expression and Clinical DataDOI 10.20944/preprints202405.1160.v1
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