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

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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Bibliographic Details
Main Authors: Giulia Cerrato, Peng Liu, Liwei Zhao, Adriana Petrazzuolo, Juliette Humeau, Sophie Theresa Schmid, Mahmoud Abdellatif, Allan Sauvat, Guido Kroemer
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Molecular Cancer
Subjects:
Artificial intelligence
Automated image analysis
Neural network
Cancer chemotherapy
Immunogenic cell death
Integrated stress response
Online Access:https://doi.org/10.1186/s12943-024-02189-3
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https://doi.org/10.1186/s12943-024-02189-3

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