Results 1 to 10 of about 6,612,897 (317)

The Influence of Pharmacogenetics on the Clinical Relevance of Pharmacokinetic Drug–Drug Interactions: Drug–Gene, Drug–Gene–Gene and Drug–Drug–Gene Interactions

Pharmaceuticals, 2021
Drug interactions are a well-known cause of adverse drug events, and drug interaction databases can help the clinician to recognize and avoid such interactions and their adverse events. However, not every interaction leads to an adverse drug event.
Martina Hahn, Sibylle C. Roll
doaj   +2 more sources

Navigating Drug–Drug Interactions in Clinical Drug Development: A Tutorial [PDF]

Clinical and Translational Science
This tutorial provides essential guidelines and insights, in addition to regulatory guidance, for the evaluation of drug–drug interactions (DDIs), with a focus on the tools and timing of assessment critical for effective management of inclusion/exclusion
Jesmin Lohy Das, Antoinette (Toni) Ajavon‐Hartmann, Virginia (Ginny) D. Schmith   +2 more
doaj   +2 more sources

DPDDI: a deep predictor for drug-drug interactions

BMC Bioinformatics, 2020
Background The treatment of complex diseases by taking multiple drugs becomes increasingly popular. However, drug-drug interactions (DDIs) may give rise to the risk of unanticipated adverse effects and even unknown toxicity.
Yue-Hua Feng, Shao-Wu Zhang, Jian-Yu Shi
doaj   +2 more sources

Drug-Drug Interactions at Organic Cation Transporter 1

Frontiers in Pharmacology, 2021
The interaction between drugs and various transporters is one of the decisive factors that affect the pharmacokinetics and pharmacodynamics of drugs. The organic cation transporter 1 (OCT1) is a member of the Solute Carrier 22A (SLC22A) family that plays
Shiwei Zhou, Shiwei Zhou, Shiwei Zhou, Sujuan Zeng, Yan Shu, Yan Shu   +5 more
doaj   +2 more sources

Pharmacovigilance of Drug–Drug Interactions with Nirmatrelvir/Ritonavir [PDF]

Infectious Diseases and Therapy
Introduction Nirmatrelvir/ritonavir (NMV/r) is approved in the United States (US) and more than 70 other countries for the treatment of mild to moderate COVID-19 in nonhospitalized adults at high risk for severe disease.
Victoria Hendrick, Erast Pohorylo, Lubna Merchant, Jackie Gerhart, Iqra Naz Arham, Florin Draica, Romina Quercia, Ayman Ayoub, Reema Mehta   +8 more
doaj   +2 more sources

Drug-Drug Interactions and Initial Dosage Optimization of Quetiapine in Patients with Depression: A Real-World Study [PDF]

Drug Design, Development and Therapy
Xiao Chen,1,* Yue Zhang,2,* Di Yin,3,* Ying-Wei Jin,2,4,* Su-Mei He,5 Cun Zhang,6 Dong-Dong Wang2 1School of Nursing, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People’s Republic of China; 2School of Pharmacy ...
Chen X, Zhang Y, Yin D, Jin YW, He SM, Zhang C, Wang DD   +6 more
doaj   +2 more sources

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction [PDF]

Briefings Bioinform., 2023
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially in drug-drug interactions (DDIs).
Xuan Lin, Lichang Dai, Yafang Zhou, Zunpeng Yu, Wen Zhang, Jian-Yu Shi, Dongsheng Cao, Li Zeng, Hao-Heng Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng   +11 more
semanticscholar   +1 more source

Pharmacokinetic Drug–Drug Interactions and Herb–Drug Interactions

Pharmaceutics, 2021
Due to the growing use of herbal supplementation—ease of taking herbal supplements with therapeutics drugs (i [...]
Min-Koo Choi, Im-Sook Song
doaj   +1 more source

The Capability of ChatGPT in Predicting and Explaining Common Drug-Drug Interactions.

Cureus, 2023
Background Drug-drug interactions (DDIs) can have serious consequences for patient health and well-being. Patients who are taking multiple medications may be at an increased risk of experiencing adverse events or drug toxicity if they are not aware of ...
Ayesha Juhi, Neha Pipil, S. Santra, Shaikat Mondal, J. Behera, Himel Mondal   +5 more
semanticscholar   +1 more source

Evaluating the Sensitivity, Specificity, and Accuracy of ChatGPT-3.5, ChatGPT-4, Bing AI, and Bard Against Conventional Drug-Drug Interactions Clinical Tools

Drug, Healthcare and Patient Safety, 2023
Background AI platforms are equipped with advanced ‎algorithms that have the potential to offer a wide range of ‎applications in healthcare services. However, information about the accuracy of AI chatbots against ‎conventional drug-drug interaction tools
Fahmi Y. Al-Ashwal, Mohammed Zawiah, L. Gharaibeh, Rana K. Abu-Farha, A. N. Bitar   +4 more
semanticscholar   +1 more source