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 large scale of engineering labor which India has so long been proud of as the main export of its technology, is gazing at ...

Introduction Artificial Intelligence (AI) enables computers to perform tasks that normally require human intelligence- such as learning from data, recognizing ...

Artificial intelligence is emerging as one of the most influential forces reshaping modern surgical practice. Over the past decade, surgical teams have faced rising complexity in cases, expanding ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

While some industries have been slower to explore how they might use AI in their operations, the financial services sector ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

A review led by Adelaide University researchers has found there's a lack of clear guidelines around the early testing of AI tools in health clinics during a process known as silent trials. The global ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...