Results 31 to 40 of about 6,956,165 (310)
American Journal of Public Health, 1924 Epidemics Attributable to Pasteurized Milk. -Godfrey collects and analyzes the reports of epidemics of communicable disease at*ibutable to pasteurized milk. Sixteen epidemics are collected and summarized, 11 of which are of typhoid or paratyphoid, 3 of septic sore throat, one of scarlet fever and one of diphtheria.
D. B. Dill, C. L. Alsberg
openaire +13 more sources
MGRL: Predicting Drug-Disease Associations Based on Multi-Graph Representation Learning
Frontiers in Genetics, 2021 Drug repositioning is an application-based solution based on mining existing drugs to find new targets, quickly discovering new drug-disease associations, and reducing the risk of drug discovery in traditional medicine and biology.
Bo-Wei Zhao +13 more
doaj +1 more source
Oligomers Are Promising Targets for Drug Development in the Treatment of Proteinopathies
Frontiers in Molecular Neuroscience, 2020 Currently, there is no effective treatment of proteinopathies, as well as their diagnosis in the early stages of the disease until the first clinical symptoms appear.
Oxana V. Galzitskaya +1 more
doaj +1 more source
Multi-View Substructure Learning for Drug-Drug Interaction Prediction [PDF]
arXiv, 2022 Drug-drug interaction (DDI) prediction provides a drug combination strategy for systemically effective treatment. Previous studies usually model drug information constrained on a single view such as the drug itself, leading to incomplete and noisy information, which limits the accuracy of DDI prediction.
arxiv
Knowledge-Driven New Drug Recommendation [PDF]
arXiv, 2022 Drug recommendation assists doctors in prescribing personalized medications to patients based on their health conditions. Existing drug recommendation solutions adopt the supervised multi-label classification setup and only work with existing drugs with sufficient prescription data from many patients.
arxiv
Drug-drug interactions in repeat prescriptions at village dispensaries (bereg) in Malta [PDF]
, 2013 Inappropriate treatments and drug-drug interactions (DDIs) are known to occur in settings where repeat prescriptions are issued. In view of this, a study was carried out to document any such problematic drug prescribing and propose changes that would
Bugeja, Anton
core
Heat: A Highly Efficient Skin Enhancer for Transdermal Drug Delivery
Frontiers in Bioengineering and Biotechnology, 2018 Advances in materials science and bionanotechnology have allowed the refinements of current drug delivery systems, expected to facilitate the development of personalized medicine.
Sabine Szunerits, Rabah Boukherroub
doaj +1 more source
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
Cardiovascular Therapeutics, 2009 Understanding and documentation of drug–drug interactions (DDIs) are an important component of drug development, and of clinical therapeutics. Because clinical DDI studies are costly, time‐consuming, and involve some risk, not all clinical DDI questions can be realistically addressed through human DDI trials.In vitromodels have been used to identify ...
openaire +3 more sources
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space [PDF]
arXiv, 2020 Learning accurate drug representation is essential for tasks such as computational drug repositioning and prediction of drug side-effects. A drug hierarchy is a valuable source that encodes human knowledge of drug relations in a tree-like structure where drugs that act on the same organs, treat the same disease, or bind to the same biological target ...
arxiv