Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

The fossilised bones of our ancestors remain silent. So, how can we possibly imagine what our earliest languages sounded like ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

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Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

The experts at irishracing.com have fired up their supercomputer to assess which horse has the best chance of winning the Gold Cup ...

As global energy storage expands toward 741 GWh by 2030, operators face challenges managing retired electric vehicle batteries for grid applications.

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Artificial intelligence startup Simile has raised $100 million in a new funding round to develop a model to predict human behaviour, including guessing which items customers might buy and which ...

A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life for people living with Motor Neuron Disease (MND). The new tool, developed ...