Results 61 to 70 of about 451,043 (309)
BackgroundAttention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder of childhood, and pathogenesis is not fully understood.
Kangning Zhou +5 more
doaj +1 more source
Diagrammatic Modelling of Causality and Causal Relations
12 Pages, 24 ...
openaire +2 more sources
ABSTRACT Background An earlier study on children diagnosed with acute lymphoblastic leukemia (ALL) at Moi Teaching and Referral Hospital (MTRH) in Kenya reported a low event‐free survival (EFS), excess treatment abandonment, and high induction mortality.
Gilbert Olbara +7 more
wiley +1 more source
A study on large-scale disease causality discovery from biomedical literature
Background Biomedical semantic relationship extraction could reveal important biomedical entities and the semantic relationships between them, providing a crucial foundation for the biomedical knowledge discovery, clinical decision making and other ...
Shirui Yu +4 more
doaj +1 more source
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris +24 more
wiley +1 more source
Cathepsins and cancer risk: a Mendelian randomization study
BackgroundPrevious observational epidemiological studies reported an association between cathepsins and cancer, however, a causal relationship is uncertain.
Tingting Deng +10 more
doaj +1 more source
Experimental scenarios in accounting research: Highlights in methodological development
The main objective of this article is to guide the researcher, through the exposition of highlights and examples from previous literature, in the building of an experimental scenario for the investigation of his research question.
Myrna Modolon Lima
doaj +2 more sources
Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings [PDF]
Causality extraction from natural language texts is a challenging open problem in artificial intelligence. Existing methods utilize patterns, constraints, and machine learning techniques to extract causality, heavily depending on domain knowledge and ...
Zhaoning Li +3 more
semanticscholar +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
An [Imperfect] Case for Dyadic Research in Pediatric Psychosocial Oncology
Pediatric Blood &Cancer, EarlyView.
Stephanie M. Nanos +2 more
wiley +1 more source

