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520 articles for “drug”
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Research ArticleOpen accessEvery word in the titleAssessing the Gender Dimensions of Drug Abuse Among Women and Girls in Maiduguri: Challenges and ImplicationsFredrick WilsonThis study examines the gender-specific dimensions of drug abuse among women and girls in Maiduguri, North East Nigeria, a region affected by insurgency, poverty, and restrictive socio-cultural norms. While national data indicate rising female substance use, interventions and research have largely overlooked women’s unique challenges. Drawing on in-depth interviews and focus group discussions, the study explores structural, emotional, and socio-cultural … …Journal of Social Sciences, Vol. 22, Issue 1 · 7 Sep 2026 · 801 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDeep Learning Analysis of Drug Reviews: Identifying Patient Conditions, Predicting Drug Ratings, and Sentiment AnalysisRafat Hammad, Mohammad Ashraf Ottom, Ayah Bani BakerUnderstanding patients' experiences with medications is essential for improving drug effectiveness, detecting potential side effects, and enhancing overall patient satisfaction. This research investigates applying machine learning to patient drug reviews across three main tasks: Identifying patient conditions, predicting drug ratings, and performing sentiment analysis. We implemented and evaluated Convolutional Neural Networks (CNNs), Artificial Neural Networks (ANNs), and Recurrent Neural Networks … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 736 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Drug-Target Interaction Prediction Based on Supervised Probabilistic ClassificationManmohan Singh, Susheel Kumar Tiwari, G. Swapna et al.Bayesian ranking-based drug-target relationship prediction has achieved good results, but it ignores the relationship between drugs of the same target. A new method is proposed for drug-target relationship prediction based on groups by Appling Bayesian. According to the reality that drugs interacting with a specific target have similarities, a grouping strategy was introduced to make these similar drugs interact. A … …Journal of Computer Science, Vol. 19, Issue 10 · 1 Sep 2023 · 5,454 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleDrug Repositioning in Response to COVID-19 and other Challenging DiseasesHyellavala Joseph Fomnya, Saidu Ibrahim Ngulde, Sarah Malgwi Gana et al.Coronavirus disease is a highly contagious infection that is majorly associated with upper respiratory tract illnesses. The World Health Organization (WHO) label the novel coronavirus disease COVID-19 after an epidemic of the disease in Wuhan, Hubei province (China). Over 90 clinical trials, including drug repositioning, have been initiated to get COVID-19 treatment/management. Antibiotic resistance, drug tolerance, mutation, and adverse drug … …American Journal of Pharmacology and Toxicology, Vol. 17, Issue 1 · 28 Nov 2022 · 9,503 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleDrug Interactions Pharmacology: A Narrative ReviewLívia Maria Barbosa Neves, Louryanne de Castro Silva, Mônica Thalia Brito de Melo et al.Thesimultaneous prescription of multiple drugs used in therapeutic schemes canresult in drug interactions, with desirable or undesirable effects. Thus, theobjective of this study was to describe the mechanisms involved in clinicallyrelevant drug interactions. This is a narrative review in which studiespublished in PUBMED and the VHL were searched in the following databases:MedLine, Lilacs, and Scielo. The search was performed in … …American Journal of Pharmacology and Toxicology, Vol. 17, Issue 1 · 25 Oct 2022 · 9,157 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of Microbe-Drug Association based on Weighted Profile and Collaborative Matrix FactorizationZhu Ling-Zhi, Guixiang Li, Chunhua Li, Jun WangPrevious studies have shown that diseases are associated with microbe. To explore a more effective treatment for these diseases, unknown microbe-drug associations must be identified. However, existing models to identify microbe-drug association are limited. In our article, a predictive model (WPCMF) is presented for identifying microbe-drug associations based on weighted profile and collaborative matrix factorization. In WPCMF, the Gaussian Interaction … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 4 · 23 Jan 2022 · 5,735 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdverse Drug Reaction Detection Using Latent Semantic AnalysisAhmed Adil Nafea, Nazlia Omar, Mohammed M. AL-AniDetecting Adverse Drug Reactions (ADRs) is one of the important information for determining the view of the patient on one drug. Most studies have investigated the extraction of ADRs from social networks, in which users share their opinion on a particular medication. Some studies have used trigger terms to detect ADRs. Such studies showed remarkable performance in terms of extracting … …Journal of Computer Science, Vol. 17, Issue 10 · 28 Oct 2021 · 7,808 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting Microbe-Drug Association based on Similarity and Semi-Supervised LearningLingzhi Zhu, Jun Wang, Guixiang Li et al.Increasing clinic evidences have showed that microbial communities play important roles in human health and disease. Predicting hidden microbe-drug associations can be helpful in understanding the microbe-drug association mechanisms in clinical treatment, drug discovery, combinations and repositioning. Some computational methods were proposed to predict the associations of microbes and drugs. However, the prediction performance of these methods needs to be … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 9 Mar 2021 · 7,535 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleDevelopment of Azithromycin Resistance in Streptococcus pneumoniae in the Setting of Trachoma Mass Drug Administration: A Systematic ReviewNazia Khan, Barbara Lachana Onen, Robin Hilder, Robin BaileyTrachoma is a blinding eye disease caused by the bacterium Chlamydia trachomatis. The current global elimination of trachoma initiative includes the use of mass drug distribution of azithromycin in areas where the prevalence of follicular trachoma is >10% in children aged 1-9 years. This study aims to investigate the high quality evidence of whether mass drug administration for trachoma causes … …American Journal of Infectious Diseases, Vol. 16, Issue 3 · 24 Jul 2020 · 7,596 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMycobacterium tuberculosis Complex Mutations in Drug Resistant Clinical Isolates from Southwest MexicoMartínez-Cruz Perla Mónica, Nakamura-López Yuko, Quintero-Hernández Verónica et al.Mutations in target genes have been described in Mycobacterium tuberculosis Complex (MTBc) drug resistant isolates worldwide. In Mexico, not enough information has been reported in this concern. The aim of this study was to characterize mutations related to resistance to first line drugs in MTBc isolates from Oaxaca, Mexico. MTBc isolates were identified in clinical samples from Tuberculosis (TB) patients. … …American Journal of Infectious Diseases, Vol. 17, Issue 4 · 28 Oct 2021 · 6,667 accessesView PDFCite