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AI system creates language of protein shapes

Researchers at University of Maryland have used an artificial intelligence (AI) system to create an abstract language from the constant […]

Identifying Drug Repurposing Candidates for COVID-19 Using Drug-Wide Association Studies

A recent study carried out a systematic evaluation of the drugs available in electronic health record data, including prescription drugs […]

Short Linear Peptides as Therapeutic Modalities for Type II Diabetes

A recent study used machine learning to identify unoptimized short linear peptides, which represent promising candidates for blood glucose regulation […]

Side effect profile of clozapine using RWD

We summarise a recent study that used real-world data (RWD) to explore the prevalence of adverse effects in patients before […]

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 […]

An AI radiology workflow

Here we summarise a recent review article, published in Neuroimaging Clinics, that explored the additive value of artificial intelligence (AI) […]

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 […]

What is artificial intelligence?

In recent years, the term ‘artificial intelligence’ has become a major buzz word across the pharmaceutical and tech industry. But […]

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 […]