Back to search

Article

Knowledge-Driven Neuro-Symbolic Reasoning for Personalized Oncology Treatment Recommendation Based on Multi-Modal Medical Knowledge Graph

2026-06-02

Abstract excerpt

<h4>ABSTRACT</h4> Personalized oncology treatment recommendation is a critical clinical task that requires in-tegrating complex, multi-modal patient data with established medical knowledge to ensure both accuracy and safety. While deep learning models excel at capturing latent patterns from high-dimensional data, their opaque decision-making processes and inability to strictly enforce clinical constraints hinder...

Topics

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

Identifiers and source

Literature Corpus work
ad3a910c-7618-5ab6-ad44-94e24f54bb1f
DOI
10.64898/2026.06.01.26354443
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Knowledge-Driven Neuro-Symbolic Reasoning for Personalized Oncology Treatment Recommendation Based on Multi-Modal Medical Knowledge GraphDOI 10.64898/2026.06.01.26354443
TrustFedKG-Health: Explainability-Aware Personalized Federated Knowledge Graph Neural Network with Uncertainty-Guided Clinical ReasoningSemantic proximity
Knowledge Graphs and Explainable AI for Drug Repurposing on Rare DiseasesSemantic proximity
PRESSnet: a novel framework for patient stratification and biomarker discovery using clinical knowledge graphsSemantic proximity
Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferencesSemantic proximity
DruID: Personalized <b>Dru</b> g Recommendations by <b>I</b> ntegrating Multiple Biomedical <b>D</b> atabases for CancerSemantic proximity
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligenceSemantic proximity
Explainable artificial intelligence in prostate cancer treatment recommendation: A decision support system for oncological expert panelsSemantic proximity
BEACON: predicting side effects and therapeutics outcomes to drugs by Bridging knowlEdge grAph with CONtextual language modelSemantic proximity
Multi-layer guilt-by-association-based drug repurposing by integrating clinical knowledge on biological heterogeneous networksSemantic proximity
<i>MedGraphNet</i> : Leveraging Multi-Relational Graph Neural Networks and Text Knowledge for Biomedical PredictionsSemantic proximity
From General-Purpose to Disease-Specific Features: Aligning LLM Embeddings on a Disease-Specific Biomedical Knowledge Graph for Drug RepurposingSemantic proximity
Interpretable Drug Response Prediction through Molecule Structure-aware and Knowledge-Guided Visible Neural NetworkSemantic proximity
Select a neighboring publication to make it the new centre.