MIT researchers developed a technique that enables LLMs to permanently absorb new knowledge by generating study sheets based on data the model uses to memorize important information.

A new heart monitoring system combining 3D printing and artificial intelligence could transform the way doctors measure and diagnose patients' heart health.

Developed at SFU’s School of Mechatronic Systems Engineering, the system features reusable dry 3D-printed electrodes embedded in a soft chest belt – the folding origami-shaped design uses gentle suction to stick to the skin.

Carbon-based ink printed on the suction cup replaces electrolyte gel, conducting the heart’s electrical signals through to a wearable device with built-in AI software to pre-diagnose of up to 10 types of arrhythmias, or irregular heart rhythms. 

A study published in the Journal of Critical Care, conducted with the participation of the D’Or Institute for Research and Education (IDOR), investigated how to measure efficiency in the use of resources for patients with severe community-acquired pneumonia (CAP), an illness contracted outside hospital settings and most common among older adults.

Severe CAP represents one of the greatest challenges for ICUs. It requires complex resources, ranging from prolonged hospitalizations to respiratory support, directly affecting hospitals’ ability to deliver quality care. Despite its relevance, traditional methods of evaluating hospital performance do not always take patient severity into account, which undermines fair comparisons between institutions and hinders more effective management strategies.