MEGH-DDI: MolT5-driven edge-aware graph learning with Hop2Token representation for drug-drug interaction prediction. [PDF]
Zhou L, Zuo Y, He W, Deng Z.
europepmc +1 more source
InfoMedex: drug-drug interaction prediction via a multimodal CNN-transformer model. [PDF]
Disharoon A +6 more
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Navigating uncertainty matters: Evaluating large language models for drug-drug interaction identification. [PDF]
Tilley A +6 more
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Tail-aware heterogeneous graph neural networks for multi-class drug-drug interaction prediction. [PDF]
Venkatesh V, G V, S M D.
europepmc +1 more source
DDI-HierPred: An Artificial Intelligence-Based Hierarchical PK/PD Platform for Drug-Drug Interaction Prediction. [PDF]
Ouassaf M, Alhatlani BY.
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Steady-State Pharmacokinetic Drug-Drug Interaction Study of Zastaprazan, a Novel Potassium-Competitive Acid Blocker, and Atorvastatin in Healthy Participants. [PDF]
Yang AY +5 more
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A SHAP-Informed Formal Feature Attribution Framework for Drug-Drug Interaction Risk in Large-Scale Claims Data. [PDF]
Dixon RJ, Price ET.
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Global management of drug-drug interaction in patients with prostate cancer: international survey by Meet-URO group and ONCOassist. [PDF]
Valsecchi AA +16 more
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Pharmacokinetic Drug-Drug Interaction Potential of Oral Anticancer Drugs. [PDF]
Alhurayri F +10 more
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Real-World Claims Data on Prescribed Drugs and the Associated Drug-Drug Interaction Risk in Sickle Cell Disease in the United States. [PDF]
Nørgaard RA +4 more
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