Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

This transition is explored in “Embodied Artificial Intelligence in Healthcare: A Systematic Review of Robotic Perception, ...

Archit Sood drives secure Windows platform services at Microsoft, shaping AI-era cloud-native systems.

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 ...

Pulse oximetry guides the management of respiratory conditions through non-invasively monitoring arterial oxygen saturation. Unstable haemoglobin variants may produce inaccurate readings. We describe ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

How does AI identify MEV patterns? Know how machine learning detects sandwich attacks and front-running bots by analyzing blockchain transaction sequences.

Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...

Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...