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| http://dx.doi.org/10.1503/cmaj.160195 | DOI Listing |
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Awareness and Knowledge About Preconception Healthcare: A Cross-Sectional Study of Early Years UAE Medical Students.
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Department of Obstetrics & Gynecology, College of Medicine & Health Sciences (CMHS), United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
Preconception health is critical for improving maternal and child health. The main objective of the study was to explore medical students' health habits, quality of life, and knowledge of preconception healthcare. We conducted a cross-sectional study between 15 March 2023 and 31 May 2024 among medical students at United Arab Emirates University.
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Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122 Milan, Italy.
Even if rarely detected, right atrial (RA) masses represent a diagnostic challenge due to their heterogeneous presentation. Para-physiological RA structures, such as a prominent Eustachian valve, Chiari's network, and lipomatous atrial hypertrophy, may easily be misinterpreted as pathological RA masses, including thrombi, myxomas, and vegetations. Each pathological mass should always be correlated with adequate clinical, anamnestic, and laboratory data.
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Department of Public Health and Sport Sciences, Faculty of Health and Life Sciences, Medical School, University of Exeter, Exeter EX1 2LU, UK.
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View Article and Find Full Text PDFFeasibility of an 8-Week Home-Based Sensory Perception Training Game for People with Fibromyalgia: A Pilot Study.
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Department of Physical Activity and Rehabilitation Sciences, University of Liege, 4000 Liege, Belgium.
People with fibromyalgia syndrome (FMS) may have difficulty attending rehabilitation sessions. We investigated the feasibility (adherence and satisfaction) of implementing an 8-week home-based somatosensory, entirely remote, self-training programme using the TrainPain smartphone app in people with FMS. The secondary aim was to evaluate the effect on pain symptoms.
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65+ Outpatient Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.
: Melanoma, an aggressive form of skin cancer, accounts for a significant proportion of skin-cancer-related deaths worldwide. Early and accurate differentiation between melanoma and benign melanocytic nevi is critical for improving survival rates but remains challenging because of diagnostic variability. Convolutional neural networks (CNNs) have shown promise in automating melanoma detection with accuracy comparable to expert dermatologists.
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