Results 11 to 20 of about 13,132,513 (343)
Nanocarrier-based drug combination therapy for glioblastoma [PDF]
The current achievements in treating glioblastoma (GBM) patients are not sufficient because many challenges exist, such as tumor heterogeneity, the blood brain barrier, glioma stem cells, drug efflux pumps and DNA damage repair mechanisms.
Meng-Nan Zhao +4 more
semanticscholar +3 more sources
Liver fibrosis and MAFLD: the exploration of multi-drug combination therapy strategies
In recent years, the prevalence of metabolic-associated fatty liver disease (MAFLD) has reached pandemic proportions as a leading cause of liver fibrosis worldwide. However, the stage of liver fibrosis is associated with an increased risk of severe liver-
Qin-Yun Dong +13 more
semanticscholar +1 more source
Antimicrobial resistance (AMR) has become a topic of great concern in recent years, with much effort being committed to developing alternative treatments for resistant bacterial pathogens.
Kevin Masterson +3 more
doaj +1 more source
New and simplified method for drug combination studies by checkerboard assay
To evaluate the effect of two combined antimicrobial drugs, one method currently in use is the checkerboard assay in a 96-well microplate, which gives a good in vivo estimation of the drug-drug combination effect. Appropriate and consolidated methods are
P. Bellio +3 more
semanticscholar +1 more source
The effect of combination therapies in many cancers has often been shown to be superior to that of monotherapies. This success is commonly attributed to drug synergies.
Nicola Melillo +5 more
doaj +1 more source
Multi-compound and drug-combination pharmacokinetic research on Chinese herbal medicines
Traditional medicine has provided a basis for health care and disease treatment to Chinese people for millennia, and herbal medicines are regulated as drug products in China. Chinese herbal medicines have two features.
Chuan Li +4 more
semanticscholar +1 more source
Background: Older people (≥60 years old) are particularly vulnerable to influenza virus infection, and vaccine is effective in reducing the disease burden in this population. However, it remains obscure whether their antibody response is lower than those
Ziyan Meng +6 more
doaj +1 more source
Systematic review of computational methods for drug combination prediction
Synergistic effects between drugs are rare and highly context-dependent and patient-specific. Hence, there is a need to develop novel approaches to stratify patients for optimal therapy regimens, especially in the context of personalized design of ...
Weikaixin Kong +7 more
semanticscholar +1 more source
SynergyFinder 2.0: visual analytics of multi-drug combination synergies
SynergyFinder (https://synergyfinder.fimm.fi) is a stand-alone web-application for interactive analysis and visualization of drug combination screening data.
A. Ianevski, A. Giri, T. Aittokallio
semanticscholar +1 more source
Machine learning methods, databases and tools for drug combination prediction
Combination therapy has shown an obvious efficacy on complex diseases and can greatly reduce the development of drug resistance. However, even with high-throughput screens, experimental methods are insufficient to explore novel drug combinations.
Lianlian Wu +11 more
semanticscholar +1 more source

