Results 31 to 40 of about 52,275 (325)
In older adults who experienced the death of a partner, higher prolonged grief symptoms were associated with less anticorrelation between retrosplenial default network and cingulo‐opercular networks during resting state, and more dwell time in a dynamic functional connectivity state involving positive correlations between large‐scale brain networks ...
Saren H. Seeley+3 more
wiley +1 more source
Medical Knowledge Graph QA for Drug-Drug Interaction Prediction based on Multi-hop Machine Reading Comprehension [PDF]
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
Mental health is an important segment in preserving overall health and represents a significant public health issue. In modern times, mental health disorders have risen, often requiring complex pharmacotherapy and chronic monitoring.
Iva Marović+3 more
doaj +1 more source
Contemporary management of pain in cirrhosis: Toward precision therapy for pain
Abstract Chronic pain is highly prevalent in patients with cirrhosis and is associated with poor health‐related quality of life and poor functional status. However, there is limited guidance on appropriate pain management in this population, and pharmacologic treatment can be harmful, leading to adverse outcomes, such as gastrointestinal bleeding ...
Alexis Holman+4 more
wiley +1 more source
Novel carbon‐11 labeled pyrimidine derivatives are developed as PET imaging probes for visualizing sigma‐1 receptors in the brain. [11C]CNY‐01 demonstrates superior brain uptake and binding specificity in both rodents and non‐human primates. The study reveals decreased sigma‐1 receptor expression in Alzheimer's disease, offering a promising tool for ...
Ping Bai+12 more
wiley +1 more source
Deep learning analysis of intracranial EEG for recognizing drug effects and mechanisms of action [PDF]
Drug-target interaction (DTI) prediction has become a foundational task in drug repositioning, polypharmacology, drug discovery, as well as drug resistance and side-effect prediction. DTI identification using machine learning is gaining popularity in these research areas.
arxiv
This study uses Caenorhabditis elegans to assess the activity of amphetamine‐type stimulants (ATS) and their analogs. The research highlights the roles of dopamine and serotonin pathways, distinguishes chiral forms of ATS, and identifies structure‐activity relationships. These findings provide a rapid and cost‐effective model for evaluating the effects
Yuanpeng Li+3 more
wiley +1 more source
This study investigated risk and protective factors for marijuana use and problems with use in Ecuadorian girls in an attempt to inform this growing problem. Female secondary school students (N = 16,310; M = 15.02, SD = 1.73 years) who completed the 2016 national survey of drug use participated. The likelihood of lifetime marijuana use, reported by 7.3%
Daniela Ocaña‐Gordillo, Wendy Kliewer
wiley +1 more source
Multi-View Substructure Learning for Drug-Drug Interaction Prediction [PDF]
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
Hepatotoxicity of Psychotropic Drugs [PDF]
Psychotropic drugs with hepatotoxic potential can be classified based on their intended use: 1) antipsychoticsneuroleptics including phenothiazines, butyrophenones, and clozapine; 2) antidepressants including tricyclics, serotonin reuptake inhibitors, and monoamine oxidase (MAO) inhibitors; 3) anti-anxiety drugs such as benzodiazepines; 4 ...
Khaled Selim, Neil Kaplowitz
openaire +3 more sources