With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …

Artificial intelligence (AI) and machine learning (ML) are increasingly used in radiology
research to deal with large and complex imaging data sets. Nowadays, ML tools have …

The health sector faces a series of problems generated by patients who miss their
scheduled appointments. The main challenge to this problem is to understand the patient's …

Background Early warning systems (EWSs) are of increasing importance in the context of
outbreak-prone diseases such as chikungunya, dengue, malaria, yellow fever, and Zika. A …

Background: The lengthy and expensive process of developing a novel medicine often takes
many years and entails a significant financial burden due to its poor success rate …

This study aimed to develop a risk prediction model for epilepsy-related death in adults. In
this age-and sex-matched case-control study, we compared adults (aged≥ 16 years) who …

In recent years, there has been a dramatic increase in research papers about machine
learning (ML) and artificial intelligence in radiology. With so many papers around, it is of …

SARS-CoV-2 was discovered among humans in late 2019 and rapidly spread across the
world. Although the virus is transmitted by respiratory droplets, most infected persons also …

Importance Breast cancer–related lymphedema (BCRL) is a common complication of
axillary lymph node dissection (ALND) but can also develop after sentinel lymph node …

BACKGROUND: Days before surgery, add-ons may be scheduled to fill unused surgical
block time at an outpatient surgery center. At times, outpatient surgery centers have time …