Results 21 to 30 of about 328,394 (238)
PharmaceuticalsClinical practice entails a translation of research that assists in the use of scientific data and therapeutic evidence for the benefit of the patient. This review critically summarizes the potential impact of cannabinoids in conjunction with other drugs
Maria G. Campos +6 more
doaj +1 more source
Potential drug-drug interactions and prescription errors in COVID-19 infected patients
Public Health and Toxicology, 2023 Introduction Prescription errors can cause havoc during the pandemic, especially for comorbid patients with diabetes and hypertension identified as a risky population group for COVID-19.
Syeda R. Tasfia +6 more
doaj +1 more source
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring [PDF]
arXiv, 2022 Motivation: Predicting the drug-target interaction is crucial for drug discovery as well as drug repurposing. Machine learning is commonly used in drug-target affinity (DTA) problem. However, machine learning model faces the cold-start problem where the model performance drops when predicting the interaction of a novel drug or target.
arxiv
Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures [PDF]
, 2019 Drug-drug interactions are preventable causes of medical injuries and often result in doctor and emergency room visits. Computational techniques can be used to predict potential drug-drug interactions. We approach the drug-drug interaction prediction problem as a link prediction problem and present two novel methods for drug-drug interaction prediction
arxiv +1 more source
Graph Distance Neural Networks for Predicting Multiple Drug Interactions [PDF]
arXiv, 2022 Since multidrug combination is widely applied, the accurate prediction of drug-drug interaction (DDI) is becoming more and more critical. In our method, we use graph to represent drug-drug interaction: nodes represent drug; edges represent drug-drug interactions.
arxiv
Current Drug Discovery Technologies, 2013 Small molecules with selective efficacy can be used as drugs. Drugs typically have a therapeutic dose range where the benefit from intended effects outweighs the cost of unintended (side) effects. Herein, I use case scenarios to illustrate potential advantages and pitfalls of treatment with drugs alone or in combination.
openaire +4 more sources
MoleculesBee Pollen (BP) has many advantageous properties relying on its multitargeting potential, a new tendency in managing many challenging illnesses. In cancer and neurodegeneration, the multiple effects of BP could be of unequaled importance and need further
Rachid Kacemi, Maria G. Campos
doaj +1 more source
FoodsBee pollen is characterized by an exceptional diversity and abundance of micronutrients and bioactive phytochemicals. This richness remains very sparsely investigated, but accumulating evidence strongly supports a promising future for bee pollen in human
Rachid Kacemi, Maria G. Campos
doaj +1 more source
Journal of Family Medicine and Primary Care, 2018 Introduction: Altered pharmacokinetics of antituberculosis (anti-TB) drugs due to interaction with non-TB medications or concomitant diseases may lead to suboptimal plasma levels of the affected drugs and hence contribute to the emergence of drug ...
Ratinder Jhaj +3 more
doaj +1 more source
Population Medicine, 2022 Introduction While studies have extensively examined the clinical and pharmacokinetic correlates of drug-drug interactions (DDIs) with antiretroviral therapy (ART), less is known about DDIs from the perspective of people living with HIV (PLHIV). Among an
Sejun Park +11 more
doaj +1 more source