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Marine Natural Products Database for Drug Discovery

Marine organisms are expected to be an important source of inspiration for drug discovery. At present, very few databases exist […]

New Model to Reduce AI Bias in Drug Development

We summarize a recent study, published in Communications Biology, that outlines a new framework to audit and reduce AI bias […]

Transcriptome Reversal Drug Discovery for Neurodevelopmental Disorders

Researchers from Columbia University have demonstrated that a transcriptome reversal drug discovery technique, originally developed for cancer, can be applied […]

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 […]

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 […]

Predicting near-term COVID-19 mortality using an ML-based approach

A team of researchers have developed a machine learning (ML)-based algorithm to analyse electronic health record (EHR) data and reliably […]

Using big data in the fight against COVID-19

A recent article, published in Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis, has explored the role of […]

Interview with Anandbir Brar, Chief Executive Officer, Excelra

We recently interviewed Anandbir Brar, Chief Executive Officer of Excelra. Excelra is the lead sponsor for our D4 Global virtual event.  […]

Medical data: a durable asset

In a recent perspective, published in Nature Genetics, Amalio Telenti and Xiaoqian Jiang argue that aspects of data generation, infrastructure […]

Are we ready to use AI to monitor health outcomes in the elderly?

A recent debate article, published in BMC Geriatrics, has explored whether artificial intelligence (AI) health monitoring may be a suitable […]