Objective Macrophage activation syndrome (MAS), a subtype of secondary haemophagocytic lymphohistiocytosis (HLH), is a rare ...
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
Background The minimally important difference (MID) for frailty variation associated with adverse outcomes remains unknown in ...
Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...
Objectives To investigate the occurrence of depression and mental health disorders other than depression among Brazilian people with intellectual disabilities, analysing data from a national household ...
Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...
Objectives To evaluate the long-term efficacy of remote ischaemic postconditioning (RIPC) on functional outcomes in patients ...
Introduction Antimicrobial resistance (AMR) poses a global health threat, especially in low-income and middle-income countries. Community health workers (CHWs) are key actors in infection management ...
A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.
The popularity of cryptocurrencies has led to the growth of browser extensions, including malicious ones that cause financial ...
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