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In Vitro Drug Response Modelling for Drug Discovery

Patient datasets often contain a plethora of ‘-omics’ data, but the corresponding drug response information is limited and not suitable […]

Could Translational Precision Medicine be the modern approach to drug discovery and development?

A recent study has explored the concept of a modern and collaborative approach to data-driven drug development called Translational Precision […]

Discovery of Candidate Antibody-Drug Conjugate Targets

A recent study used the Human Protein Atlas as a unique big data resource to identify and prioritise candidate antibody-drug […]

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 […]

Murine Viruses in PDX Models: Why Some Cancer Drugs May be Ineffective

Researchers from the University of Texas have used data-driven approaches to identify a possible explanation for why some cancer drugs […]

DRUML: Using ML to Rank Cancer Drugs in Order of Efficacy

Researchers at Queen Mary University of London have developed a machine learning algorithm – DRUML – that ranks drugs based […]

Predicting Metabolite-Target Interactions for Drug Discovery

A recent article, published in Communications Biology, has outlined a method for expanding our understanding of host-microbiome interactions that will […]

Omics in early drug development

We summarise a recent review, published in Frontiers in Microbiology, that explored how modern -omics technologies can facilitate the drug […]

Drug repurposing in Alzheimer’s disease

Researchers have developed a machine-learning framework that can identify candidates for drug repurposing in Alzheimer’s disease. Alzheimer’s disease Due to […]

Drug repurposing for triple-negative breast cancer

We summarise a recent review, published in J. Pers. Med., that explored relevant research aimed at repurposing pre-existing drugs to […]