In today's ACT Brief, we explore how wearable data is informing real-world clinical decision-making, a statistical method that analyzes multiple patient outcomes simultaneously to improve trial design ...

ABSTRACT: For a given therapy, patients, health technology assessment agencies and regulatory agencies are interested in evaluating whether the benefit outweighs the associated risks. Existing work [1 ...

In machine learning, it is often necessary to statistically compare the overall performance of two algorithms (e.g., our proposed algorithm and each compared baseline) based on multiple benchmark ...

During cardiac arrhythmia, the heart frequency is an important physiological parameter that can be identified by analyzing electrocardiogram (ECG) signals. However, the accuracy of the frequency ...

In recent years, deep learning has attracted considerable attention owing to its ability to address complex problems in various fields. One notable problem is metric space learning, which is aimed at ...

In daily practice, physicians are expected to make evidence-based decisions to provide the best possible patient care. This means that treatment choices cannot be guided by efficacy on clinical ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Defense Secretary Pete Hegseth dismissed a comparison of his leadership style to Hitler’s after Hegseth ordered top military officials across the globe to appear in person for a meeting at Quantico in ...