Newer drug combinations for malaria [PDF]
BMJ, 2004 May be impractical unless diagnostic accuracy can be improved Resistance of parasites to cheap, first line malaria drugs is a major obstacle to reducing the more than one million deaths due to malaria each year worldwide. Comparing the number of parasitologically confirmed cases of malaria with those that are presumptively diagnosed reveals ...
Guy Barnish, James Iboro, Imelda Bates
openaire +3 more sources
Dynamic Rearrangement of Cell States Detected by Systematic Screening of Sequential Anticancer Treatments [PDF]
, 2017 Signaling networks are nonlinear and complex, involving a large ensemble of dynamic interaction states that fluctuate in space and time. However, therapeutic strategies, such as combination chemotherapy, rarely consider the timing of drug perturbations ...
Blicher Bjerregård, Mathias +9 more
core +3 more sources
Combination of Dexmedetomidine with Bupivacaine versus Fentanyl with Bupivacaine Intrathecally for Prolongation of Postoperative Analgesia in Lower Limb Surgeries: A Randomised Clinical Study [PDF]
Journal of Clinical and Diagnostic ResearchIntroduction: Intrathecal adjuvants can be added to extend the duration of analgesia. To achieve this, several adjuvants, such as the combination of dexmedetomidine with bupivacaine versus fentanyl with bupivacaine, have been used with local anaesthesia ...
Arjun Peddapally +3 more
doaj +1 more source
Drug prescription clusters in the UK Biobank: An assessment of drug-drug interactions and patient outcomes in a large patient cohort [PDF]
arXiv, 2022 In recent decades, there has been an increase in polypharmacy, the concurrent administration of multiple drugs per patient. Studies have shown that polypharmacy is linked to adverse patient outcomes and there is interest in elucidating the exact causes behind this observation.
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
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm [PDF]
arXiv, 2022 Drug synergy arises when the combined impact of two drugs exceeds the sum of their individual effects. While single-drug effects on cell lines are well-documented, the scarcity of data on drug synergy, considering the vast array of potential drug combinations, prompts a growing interest in computational approaches for predicting synergies in untested ...
arxiv
Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro [PDF]
, 2017 Multi-drug strategies have been attempted to prolong the efficacy of existing antibiotics, but with limited success. Here we show that the evolution of multi-drug-resistant Escherichia coli can be manipulated in vitro by administering pairs of ...
Cronin, Leroy +5 more
core +1 more source
Anthelmintic resistance of gastrointestinal nematodes in cattle in Brazil and Argentina - current status and global perspectives [PDF]
Revista Brasileira de Parasitologia VeterináriaThis review outlines the current state of anthelmintic resistance (AHR) of gastrointestinal nematodes (GINs) among cattle in Argentina and Brazil, emphasizing the economic repercussions, animal health and welfare. The analysis explores factors associated
Fernando de Almeida Borges +5 more
doaj +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
Drug-target affinity prediction method based on consistent expression of heterogeneous data [PDF]
arXiv, 2022 The first step in drug discovery is finding drug molecule moieties with medicinal activity against specific targets. Therefore, it is crucial to investigate the interaction between drug-target proteins and small chemical molecules. However, traditional experimental methods for discovering potential small drug molecules are labor-intensive and time ...
arxiv