Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA
BMC Bioinformatics, 2019 Background Adverse Drug Reactions (ADRs) are of great public health concern. FDA-approved drug labeling summarizes ADRs of a drug product mainly in three sections, i.e., Boxed Warning (BW), Warnings and Precautions (WP), and Adverse Reactions (AR), where
Leihong Wu +12 more
doaj +1 more source
Predicting potential adverse events using safety data from marketed drugs
BMC Bioinformatics, 2020 Background While clinical trials are considered the gold standard for detecting adverse events, often these trials are not sufficiently powered to detect difficult to observe adverse events.
Chathuri Daluwatte +4 more
doaj +1 more source
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data [PDF]
arXiv, 2020 Drug repurposing is an effective strategy to identify new uses for existing drugs, providing the quickest possible transition from bench to bedside. Existing methods for drug repurposing that mainly focus on pre-clinical information may exist translational issues when applied to human beings. Real world data (RWD), such as electronic health records and
arxiv
DROID: Dose-ranging Approach to Optimizing Dose in Oncology Drug Development [PDF]
arXiv, 2022 In the era of targeted therapy, there has been increasing concern about the development of oncology drugs based on the "more is better" paradigm, developed decades ago for chemotherapy. Recently, the US Food and Drug Administration (FDA) initiated Project Optimus to reform the dose optimization and dose selection paradigm in oncology drug development ...
arxiv
Deep Learning Prediction of Adverse Drug Reactions Using Open TG-GATEs and FAERS Databases [PDF]
, 2020 With the advancements in Artificial intelligence (AI) and the accumulation of healthrelated big data, it has become increasingly feasible and commonplace to leverage machine learning technologies to analyze clinical and omics metadata to assess the possibility of adverse drug reactions or events (ADRs) in the course of drug discovery.
arxiv +1 more source
Transdermal and Topical Drug Administration in the Treatment of Pain
Molecules, 2018 The comprehensive treatment of pain is multidimodal, with pharmacotherapy playing a key role. An effective therapy for pain depends on the intensity and type of pain, the patients’ age, comorbidities, and appropriate choice of analgesic, its dose and ...
W. Leppert +3 more
semanticscholar +1 more source
Fusing drug enforcement: a study of the El Paso Intelligence Center [PDF]
, 2015 This article examines the evolution of the El Paso Intelligence Center (EPIC), a key intelligence component of the Drug Enforcement Administration, to shed light on fusion efforts in drug enforcement.
Van Puyvelde, Damien
core +1 more source
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction [PDF]
arXiv, 2022 Co-administration of two or more drugs simultaneously can result in adverse drug reactions. Identifying drug-drug interactions (DDIs) is necessary, especially for drug development and for repurposing old drugs. DDI prediction can be viewed as a matrix completion task, for which matrix factorization (MF) appears as a suitable solution.
arxiv
Multidrug-resistant malaria and the impact of mass drug administration
Infection and Drug Resistance, 2018 Based on the emergence and spread throughout the Greater Mekong Subregion (GMS) of multiple artemisinin-resistant lineages, the prevalence of multidrug resistance leading to high rates of artemisinin-based combination treatment failure in parts of the ...
Janie Anne Zuber +1 more
semanticscholar +1 more source
Picoliter-volume inkjet printing into planar microdevice reservoirs for low-waste, high-capacity drug loading. [PDF]
, 2017 Oral delivery of therapeutics is the preferred route for systemic drug administration due to ease of access and improved patient compliance. However, many therapeutics suffer from low oral bioavailability due to low pH and enzymatic conditions, poor ...
Bogdanoff, Derek B +6 more
core +1 more source