4 results match your criteria: "University of Caen Normandie (UNICAEN)[Affiliation]"

Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum.

JAMA Neurol

March 2022

Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.

Article Synopsis
  • The study investigates the prevalence of amyloid aggregation, a key feature of Alzheimer's disease, in individuals with varying cognitive statuses, including those with normal cognition and who have clinical AD dementia.
  • It analyzes how factors like age, sex, educational background, and the method of detecting amyloid (CSF or PET scans) influence the prevalence estimates.
  • Data were collected from 85 study cohorts between 2013 and 2020, using a systematic approach to categorize amyloid measurements as normal or abnormal.
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Older cancer patients are vulnerable to chemotherapy-related cognitive impairment. We prospectively evaluated cognitive impairment and its predictive factors during first-line chemotherapy in elderly cancer patients (≥70 years). Cognitive function was evaluated by the Mini-Mental State Examination (MMSE) with adjusted scores for age and sociocultural level.

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Cancer-related cognitive impairment (CRCI) is a frequent side-effect of cancer treatment, with important consequences on patients' quality of life. Cognitive stimulation and physical activity are the most efficient in improving cognitive impairment, but they are challenging to generalize in hospitals' routine and to patients' needs and schedules. Moreover, the added value of a combination of these interventions needs to be more investigated.

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The present work investigates different models of polymer electrolyte membrane fuel cell. More specifically, three models are studied: a nonlinear state-space model, a generic dynamic model integrated into MATLAB/Simulink, and an equivalent RC electrical circuit. A new equivalent electrical RL model is proposed, and the methodology for determining its parameters is also given.

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