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Cell death detection using a convolutional neural network (CNN) aids drug development

A team of researchers have created a convolutional neural network (CNN) that is able to accurately classify cell death and […]

New database of transcriptional regulators for cancer drug development

Researchers from the University of Virginia School of Medicine have developed a new database of transcriptional regulators, which will help […]

Are organ maturation models the future of drug development?

Researchers have developed a data-driven model of how organs develop in order to more quickly determine safe drug doses for […]

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 […]

Eliminating Racial Disparities in Drug Development for Multiple Myeloma

African Americans are at a higher risk of multiple myeloma, yet are underrepresented in clinical trials and benefit less from […]

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 development post COVID-19 pandemic

We summarise a recent report, published in Expert Opinion on Drug Discovery, that explored the challenges facing drug development processes […]

Applications of AI in drug development

The FDA has been actively encouraging the use of real-world data (RWD) in drug development. Meanwhile, artificial intelligence (AI) methods […]

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 […]