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Explainable AI guide by The Alan Turing Institute and the Information Commissioner’s Office

The Information Commissioner’s Office (ICO) and The Alan Turing Institute have co-produced an “Explaining decisions made with AI” report, to […]

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 […]

Integration of ML in the diagnosis and treatment of neurodegenerative diseases

A recent Nature review, describes the latest developments in the use of machine learning approaches to interrogate datasets in neurodegenerative […]

Deep learning framework accurately predicts and diagnoses Alzheimer’s Disease

Early and accurate diagnosis of Alzheimer’s remains the most effective way of reducing the burden of the disease, which is […]

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 […]

Machine learning technical debt: The old and the new

Back in 2015, at the time of its publication, the Hidden Technical Debt in Machine Learning Systems paper was mostly overlooked, […]