Early identification of the palliative phase in patients with COPD and heart failure remains difficult, often delaying needed care. Since most patients are cared for at home, timely recognition in primary care is crucial. However, screening tools are rarely used, and identification relies on professional …

Background & aim Adequate protein intake is essential during recovery from illness to prevent complications such as malnutrition, sarcopenia, and delayed wound healing. Mobile applications may support self-monitoring and early detection of inadequate intake. This study evaluated the concurrent validity …

BACKGROUND: Sarcopenic obesity (SO) is a clinical condition defined by the coexistence of high body fat mass and low muscle function and mass, which increases the risk of adverse health outcomes, including disability and mortality. Early detection and frequent monitoring of SO are essential for preventive …

Family breakup dynamics in mammals can be complex due to competing interests between parents and offspring. Parents need to balance their own as well as their offspring's fitness through either terminating care early or extending care. Yet, males can disrupt this trade-off as they may force females to …

This research explored the use of deep learning to classify impact events on wind turbine blades using spectrogram images. Audio data were recorded through indoor and outdoor simulations using smartphones. The data preparation process involved converting stereo recordings to mono, applying downcasting …

The increasing prevalence of antimicrobial-resistant (AMR) bacteria in humans, animals, and the environment underscores the necessity for a rapid, sensitive, and specific method to identify resistance genes. Objectives: This study aims to develop a reliable detection tool for identifying the tetracycline-resistant …

In dit onderzoek is gekeken naar voorbeelden uit de literatuur vanuit verschillende gezondheidsdisciplines. Verschillende studies pasten machine learning (vaak deep learning) toe voor de vroegdetectie van ziekten op basis van beschikbare data uit het elektronisch patiëntendossier (EPD). Het bleek dat …

Vroegtijdige detectie van agitatie bij mensen met dementie kan leiden tot tijdige interventies, waardoor verslechtering van de situatie wordt voorkomen en de kwaliteit van leven wordt verbeterd. De opkomst van multimodale detectie en de vooruitgang in kunstmatige intelligentie maken het haalbaar om technologie …

Breast cancer is the most prevalent form of cancer that affects women worldwide, posing a significant burden on public health. While advancements in early detection and improved treatments have led to a remarkable 90% five-year survival rate and an 83% ten-year survival rate, this has also resulted in …

Introduction Around 25% of metastatic breast cancer (mBC) patients develop brain metastases, which vastly affects their overall survival and quality of life. According to the current clinical guidelines, regular magnetic resonance imaging screening is not recommended unless patients have recognized central …