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Multimodality MRI and ML techniques in bipolar disorder identification

Researchers have combined structural and functional magnetic resonance imaging (MRI) with machine learning (ML) techniques to aid in accurately identifying […]

Range selectivity: boosts precision of drug delivery

A multi-center collaboration led by Imperial and UCL has demonstrated how a mysterious molecular concept that the authors referred to […]

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.  […]

Digitising clinical trials

A new perspective, published in npj Digital Medicine, has reviewed the status of digital clinical trials and described future priorities […]

FDA benefit-risk frameworks for drug approval

In a recent study published in Therapeutic Innovation and Regulatory Science, researchers conducted a systematic review of the decision factors […]

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 […]

Fighting COVID-19 with drug repurposing

A recent review, published in Pharmacological Reports, discusses the current efficacy of drug repurposing against COVID-19. The search The race […]

MethylationToActivity: A deep-learning framework that infers promoter activity

A recent study, published as a preprint in bioRxiv, presents a new machine learning framework – MethylationToActivity. This framework uses […]

NICE joins global initiative bringing evidence-based healthcare to the forefront

The UK’s National Institute for Health and Care Excellence (NICE) and six other global leaders, have announced a global initiative […]

Overview of drug repositioning

A recent review, published in the Journal of Pharmacy and Pharmacology, provides an overview of drug repositioning and the new […]