AI-based classification of anticancer drugs reveals nucleolar condensation as a predictor of immunogenicity

Abstract Background Immunogenic cell death (ICD) inducers are often identified in phenotypic screening campaigns by the release or surface exposure of various danger-associated molecular patterns (DAMPs) from malignant cells. This study aimed to streamline the identification of ICD inducers by lever...

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Autori principali:	Giulia Cerrato, Peng Liu, Liwei Zhao, Adriana Petrazzuolo, Juliette Humeau, Sophie Theresa Schmid, Mahmoud Abdellatif, Allan Sauvat, Guido Kroemer
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2024-12-01
Serie:	Molecular Cancer
Soggetti:	Artificial intelligence Automated image analysis Neural network Cancer chemotherapy Immunogenic cell death Integrated stress response
Accesso online:	https://doi.org/10.1186/s12943-024-02189-3
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