Hyperbolic Molecular Representation Learning for Drug Repositioning [PDF]
arXiv, 2022 Learning accurate drug representations is essential for task such as computational drug repositioning. A drug hierarchy is a valuable source that encodes knowledge of relations among drugs in a tree-like structure where drugs that act on the same organs, treat the same disease, or bind to the same biological target are grouped together.
arxiv
Drug Selection via Joint Push and Learning to Rank [PDF]
IEEE/ACM Transactions on Computational Biology and Bioinformatics
( Volume: 17, Issue: 1, 01 Jan.-Feb. 2020), 2018 Selecting the right drugs for the right patients is a primary goal of precision medicine. In this manuscript, we consider the problem of cancer drug selection in a learning-to-rank framework. We have formulated the cancer drug selection problem as to accurately predicting 1). the ranking positions of sensitive drugs and 2).
arxiv +1 more source
The Drug Problem and Organized Crime, Illicit Financial Flows, Corruption and Terrorism [PDF]
, 2017 An estimated quarter of a billion people, or around 5 per cent of the global adult population, used drugs at least once in 2015. Even more worrisome is the fact that about 29.5 million of those drug users, or 0.6 per cent of the global adult population ...
core +1 more source
AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions [PDF]
arXiv, 2023 Adverse drug interactions are largely preventable causes of medical accidents, which frequently result in physician and emergency room encounters. The detection of drug interactions in a lab, prior to a drug's use in medical practice, is essential, however it is costly and time-consuming.
arxiv
NeuroCADR: Drug Repurposing to Reveal Novel Anti-Epileptic Drug Candidates Through an Integrated Computational Approach [PDF]
arXiv, 2023 Drug repurposing is an emerging approach for drug discovery involving the reassignment of existing drugs for novel purposes. An alternative to the traditional de novo process of drug development, repurposed drugs are faster, cheaper, and less failure prone than drugs developed from traditional methods.
arxiv
Antimicrobials in animal agriculture: Parables and policy [PDF]
, 2015 In addition to the scientific, economic, regulatory and other policy factors that impact on antimicrobial decision-making in different jurisdictions around the world, there exist ethical, social and cultural bases for the contemporary use of these ...
Aarestrup +43 more
core +1 more source
Pharmacokinetic Drug–Drug Interactions and Herb–Drug Interactions [PDF]
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
openaire +4 more sources
ROSTOUCÍ NEBEZPEČÍ OBCHODOVÁNÍ S DROGAMI A JEJICH ZNEUŽÍVÁNÍ V NIGÉRII [PDF]
ACC Journal, 2022 Tento článek zkoumá osoby, trendy, techniky a pohnutky, které jsou zodpovědné za nedávný nárůst zneužívání drog a obchodování s nimi v Nigérii.
Ajiboye Babatope Matthew
doaj +1 more source
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension [PDF]
, 2022 Drug-drug interaction prediction is a crucial issue in molecular biology. Traditional methods of observing drug-drug interactions through medical experiments require significant resources and labor. This paper presents a medical knowledge graph question answering model, dubbed MedKGQA, that predicts drug-drug interaction by employing machine reading ...
arxiv +1 more source
Frontiers in Psychiatry, 2021 Background: Long-acting injectable (LAI) antipsychotics are efficacious in managing psychotic symptoms in people affected by severe mental disorders, such as schizophrenia and bipolar disorder.
Andrea Aguglia +20 more
doaj +1 more source