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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 […]

ML framework predicts anti-cancer drug efficacy

Researchers have developed a machine-learning (ML) framework to identify robust drug biomarkers and thereby, predict anti-cancer drug efficacy. Biomarker identification […]

Digitising Pharma R&D: A webinar series

The pharmaceutical industry is undergoing a digital revolution. Now armed with more data than ever before, novel discoveries are just […]

Digitising Pharma R&D: Webinar series

The pharmaceutical industry is undergoing a digital revolution. Now armed with more data than ever before, novel discoveries are just […]

The role of EMR and ML in drug development

Here, we summarise a chapter in Artificial Intelligence in Oncology Drug Discovery and Development, which explored the role of electronic […]

Machine Learning for Disruptive Drug Development – a 3 part webinar series

The cost of drug R&D has increased by ten-fold in the last 30 years, but the success rate of candidate […]

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.  […]

An end to placebos?

Health data is changing. Now, big data promises to breathe new life into clinical trial design. So, does this mean […]

Drug repurposing in Alzheimer’s disease

A recent review, in Nature Reviews Neurology, has provided an overview of the promising compounds for clinical trials in individuals […]

AI in cancer drug discovery

A recent review, published in Mathematical Biosciences and Engineering, has explored the current standing of computational modelling and machine learning […]