Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Abstract: Unsupervised machine learning algorithms, such as clustering and anomaly detection, work by identifying patterns and anomalies in data without the need for labeled training data. These ...

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 ...

Abstract: Quantum Computing can be defined as an intersection among Quantum Physics, Computer Science and Mathematics. Though the behavior of quantum mechanics is spooky, the mathematics behind it is ...

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows ...

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

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...