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Advances in machine learning for constructing biomedical knowledge graphs

Knowledge graphs, as a means of structuring information and modelling complex relationships, have rocketed in popularity across many industries, including […]

Knowledge graphs for drug development

Knowledge graphs are critical to many industries today, with big tech giants such as Google and Facebook driving their recent […]

Pfizer: How knowledge graphs will transform and rescue drug discovery

Back last October at D4 USA, Peter Henstock, Machine Learning & AI Technical Lead at Pfizer, opened up day two […]

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 […]

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 […]

Learn directly from industry experiences of leading FAIRification programmes

The transformative shift envisioned by FAIR pioneers is still very much still in progress. The standard reference tools, documents such […]

Driving FAIR in BioPharma

According to research data specialists, 79% of their time is spent finding and organising data. The FAIR (Findable, Accessible, Interoperable, Reusable) […]

AI start-ups that have pivoted to fight Covid-19, and who’s offering the funding to help

With a third of the global population under some form of lockdown restriction, it’s hard to imagine ever returning to […]

GraphRepur: A Graph Neural Network Used to Repurpose Drugs for Breast Cancer

Graph neural networks are powerful computational tools that can predict relationships from graphs at the node, edge and graph level. […]

A guide to the basics of computational biology

A very kind Reddit user under the nom de plume, PalePinkPith, has decided the current situation we find ourselves in […]