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IBDREAM Registry – Adverse Drug Reactions from Real-World Data in IBD

A recent study, published in Drug Safety, aimed to describe the adverse drug reactions reported in inflammatory bowel disease patients […]

Identifying Adverse Drug Reaction Mechanisms

A recent article proposed the mining of knowledge graphs to identify biomolecular adverse drug reaction mechanisms, which at present largely […]

The Promise of AI for Drug-Induced Liver Injury Prediction

Drug-induced liver injury is a common reason for the withdrawal of a drug from the market. Therefore, early assessment of […]

Drug3D-Net: Predicting new Drug Properties

Computationally predicting molecular shapes and structures plays an important role in drug discovery, as it enables the identification of drug […]

Using a knowledge graph to discover adverse reactions

Researchers have constructed a tumour-biomarker knowledge graph and used it to discover potential adverse drug reactions from antitumour drugs. Adverse […]

Real-World Outcomes of Razumab Treatment for Chorioretinal Diseases

A recent study aimed to assess the safety of intravitreal ranibizumab biosimilar molecule (Razumab) treatment for chorioretinal diseases under real-world […]

Side effect profile of clozapine using RWD

We summarise a recent study that used real-world data (RWD) to explore the prevalence of adverse effects in patients before […]

Big data informs medicine acceptability

We summarise a recent article, published in Drug Discovery Today, that summarised how the increasing volume and availability of data […]

Continuomics and the future of clinical trials

“No decision about me, without me” was to be the new standard of thinking for a more patient-centric NHS future, […]

Estimating IBD Treatment Effectiveness Using Electronic Health Records

Electronic health records (EHRs) are receiving growing attention as a potential source of real-world data. However, their suitability for evaluating […]