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A team of Japanese researchers conducted a study to assess the ability of a machine learning model to predict out-of-hospital cardiac arrest.

Initially, the ability of deep feed-forward neural networks to independently predict 101 CT radiomic features and two clinical traits…

A WAKE-UP call for patients and clinicians: this is how researchers sharing findings of increased cardiovascular risk in prediabetes have characterised…

OVERCOMING barriers to adherence to insulin therapy can significantly improve the risks associated with diabetes: once-weekly insulin treatment could…

SLEEP increases the risk of sudden death in individuals diagnosed with epilepsy, a new study carried out at the University of Virginia School of Medicine…

DAMAGE to white matter causes worse cognitive outcomes after a brain injury than damage to grey matter, a new study suggests…

This predicted, with a high degree (76%) of accuracy and more reliably than ever before, whether an infant would develop allergies by 1 year of age…

However, severe allergic reactions created a potential barrier to large-scale vaccination rollout. For this reason, academics at Massachusetts General…