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MEDUSA: AI Used in Battle Against Mesothelioma

International genomics research, led by the University of Leicester, has used an artificial intelligence model – MEDUSA – to study […]

In Vitro Drug Response Modelling for Drug Discovery

Patient datasets often contain a plethora of ‘-omics’ data, but the corresponding drug response information is limited and not suitable […]

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 […]

Data-driven eligibility criteria for COVID-19 clinical trials

We summarise a recent article, published in Journal of the American Medical Informatics Association, that evaluated the impact of eligibility […]

Harnessing RWE for novel cancer therapy development

We summarise a recent article, published in Cell, that explored the benefits and challenges of using real-world evidence (RWE) in […]

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 […]

A framework to generate real-world evidence using real-world data from clinical notes

A new study, published as a preprint in BMC Medical Informatics and Decision Making, has described a framework to generate […]

Machine learning enhances scoring functions for structure-based virtual screening

In a recent article, published in Drug Discovery Today: Technologies, Pedro J. Ballester analyses existing machine learning scoring functions for […]

Where are AstraZeneca investing in digital health?

Three Digital Health R&D leaders at AstraZeneca outlined in a recent post how the organisation is harnessing data, analytics and […]

The NABC approach to idea evaluation

Entrepreneurial ideas are exciting, but evaluating the business opportunity behind the idea is key for people looking to grow a […]