Article
A Transformer-Based Approach to Survival Outcome Prediction
2024-11-03
Abstract excerpt
Accurate prediction of patient survival outcomes is a critical challenge in cancer research, with the potential to inform personalized treatment strategies and improve patient care. We leveraged Geneformer, a state-of-the-art transformer model pre-trained on a massive single-cell RNA-seq dataset, to develop a model for the prediction of overall survival (OS). We adapted Geneformer for bulk tumor data analysis by a...
Topics
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- AI in cancer detection
- Cancer Immunotherapy and Biomarkers
- Cancer-related molecular mechanisms research
- Colorectal Cancer Screening and Detection
- Ferroptosis and cancer prognosis
- Ovarian cancer diagnosis and treatment
- Radiomics and Machine Learning in Medical Imaging
- Single-cell and spatial transcriptomics
Identifiers and source
- Literature Corpus work
- dda1a0dd-a6fd-55ec-b4ec-31a698de45da
- DOI
- 10.1101/2024.11.03.621674
