This section focuses on recent global studies and discoveries in the various fields of healthcare.
Artificial Intelligence AI is increasingly transforming nursing administration by enhancing operational efficiency and supporting datadriven decisionmaking
To support patients with cancer in a palliative treatment phase with the integration of experiences of contingency into their life narrative
The isolation of affected patients and intensified infection control measures are used to prevent nosocomial transmission of vancomycinresistant enterococci VRE but early detection of VRE carriers is needed
Housing stability is a key health determinant and there is a need for early screening for instability with existing electronic health record EHR data to improve health outcomes
Individuals who sustain a concussion can experience a range of symptoms which can significantly impact their quality of life and functional outcome This study aims to understand the nature and recovery trajectories
Lung cancer remains a leading cause of cancerrelated deaths worldwide with low survival rates often attributed to latestage diagnosis To address this critical health challenge
With the increasing utilization of cardiac rehabilitation in clinical treatment and prognosis for patients with cardiovascular diseases exercise training has become a crucial component Highintensity interval training
Chronic NonCommunicable Diseases NCDs represent a significant global challenge especially in low and middleincome countries The introduction of digital health in Primary Health Care PHC has the potential to improve the quality of care for people with NCDs by offering tools such as telemedicine mobile applications and other information and communica...
Traumatic brain injury is a chronic disease with lifelong consequences In children it can affect developmental milestones Longitudinal data on brain injury and longterm healthcare use is limited with lack of clarity on social determinants of health and its effects on healthcare use
Choosing the sample size in clinical MRI studies is a common important and challenging task complicated by the substantial variation in potential study parameters However considering previously used sample sizes may provide a reference point for future studies
