Results 71 to 80 of about 57,451 (216)
Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT We examined relationships between metabolic factors, microvascular complications, and brain health in adults with type 1 diabetes. Fifty‐one adults were assessed for metabolic risk factors, microvascular complications, and cognitive function, with a subset completing brain MRI.
Jihyun Park +7 more
wiley +1 more source
First steps of learning analytics in a blended learning general practice curriculum at Saarland University - a quantitative approach. [PDF]
GMS J Med Educ, 2023 Junge H +5 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Learning analytics: state of the art. [PDF]
Int J Interact Des Manuf, 2022 Hernández-de-Menéndez M +3 more
europepmc +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Editorial: Learning Analytics - Trends and Challenges. [PDF]
Front Artif Intell, 2022 Klašnja-Milićević A +4 more
europepmc +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Learning analytics in support of inclusiveness and disabled students: a systematic review. [PDF]
J Comput High Educ, 2023 Khalil M, Slade S, Prinsloo P.
europepmc +1 more source