Article

A Pharmacogenomic-Informed Representation Improves Multimodal EHR Survival Prediction

2026-01-30

Abstract excerpt

<h4>Background</h4> Electronic health record (EHR)–based prognostic modeling is increasingly used in oncology, yet incorporating pharmacogenomic (PGx) knowledge derived from experimental systems into clinical prediction frameworks remains challenging. This gap is driven by fundamental mismatches between controlled drug–mutation assays and heterogeneous, incomplete real-world clinical data. <h4>Methods</h4> We pr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b3b16cc0-3041-5577-99bd-57c9e2cbfbc3
DOI: 10.64898/2026.01.27.26344981

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Pharmacogenomic-Informed Representation Improves Multimodal EHR Survival PredictionDOI 10.64898/2026.01.27.26344981Read

DrugSAGE: an aggregation-based method for drug response imputationSemantic proximity Read

Genetic decoding reveals druggable biology implicitly learned by a medical-history foundation modelSemantic proximity Read

DELPHAI, AI Agent for Predicting Drug Response and ResistanceSemantic proximity Read

Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligenceSemantic proximity Read

SCREP: Towards Single-Cell Drug Response Prediction by Pharmacogenomic Embedding Enhanced Meta-Pretraining and Few-Shot Transfer LearningSemantic proximity Read

Phenotypic inference from sparse tumor genomes informs an explainable deep-learning model for cancer prognosisSemantic proximity Read

Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and PrognosisSemantic proximity Read

Language-model-based patient embedding using electronic health records facilitates phenotyping, disease forecasting, and progression analysisSemantic proximity Read

Pretrained transformers applied to clinical studies improve predictions of treatment efficacy and associated biomarkersSemantic proximity Read

A network model for patient-derived drug response in breast cancer integrating multi-omics datasetsSemantic proximity Read

CLEP: A Hybrid Data- and Knowledge-Driven Framework for Generating Patient RepresentationsSemantic proximity Read

HONeYBEE: Enabling Scalable Multimodal AI in Oncology Through Foundation Model-Driven EmbeddingsSemantic proximity Read