Universities & Medical Training Research Universities & Medical Training RSS feedThis is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Classification Method of ECG Signals Based on RANet
AbstractBackgroundElectrocardiograms (ECG) are an important source of information on human heart health and are widely used to detect different types of arrhythmias.ObjectiveWith the advancement of deep learning, end-to-end ECG classification models based on neural networks have been developed. However, deeper network layers lead to gradient vanishing. Moreover, different channels and periods of an ECG signal hold varying significance for identifying different types of ECG abnormalities.MethodsTo solve these two problems, an ECG classification method based on a residual attention neural network is proposed i...
Source: Cardiovascular Engineering and Technology - April 23, 2024 Category: Cardiology Source Type: research

Probabilistic Prediction of Gastrointestinal Ischemia after Cardiothoracic Surgery
Conclusion In patients receiving intensive care after cardiothoracic surgery, GIisch cannot be ruled out based solely on CTA findings. A scoring system combining CTA findings with other variables may improve the diagnosis of GIisch in this population. [...] Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, GermanyArticle in Thieme eJournals: Table of contents  |  Abstract  |  Full text (Source: The Thoracic and Cardiovascular Surgeon)
Source: The Thoracic and Cardiovascular Surgeon - April 23, 2024 Category: Cardiovascular & Thoracic Surgery Authors: Stephan, Francois Facque, Mathilde Salem, Fares Ben Picq, Olivia Imbert, Audrey Genty, Thibaut Zins, Marc Tags: Original Cardiovascular Source Type: research

Exotic Animal Practice in Southeast Asia
The number of exotic animal practitioners in Southeast Asia (SEA) has increased over the last 30  years to match the increase in ownership of exotic pets. Fortunately, veterinary health care has advanced due to the leaders in the field educating other practitioners and promoting exotic animal practice. Continuing education opportunities are available for exotic medicine in SEA. In Thailand and Singapore, there is a niche of clients with high spending power that has transcended to increased demand for exotic health care. This has led to the establishment of exotic-only specialist hospitals and more access to advanced imagi...
Source: Veterinary Clinics of North America: Exotic Animal Practice - April 23, 2024 Category: Veterinary Research Authors: Rina Maguire, Qianying Athena Lim, Ali Anwar Bin Ahmad Source Type: research

Patient Perspectives on Outpatient versus Inpatient Cervical Ripening for Induction of Labor
Conclusion Outpatient cervical ripening can be a patient-centered solution to obstetric throughput challenges arising from increased numbers of inductions. Those who underwent outpatient cervical ripening had similar perceived control to those who underwent inpatient cervical ripening, suggesting that individual patient preferences are most important in determining the optimal setting for care. The patients' reported experiences identified focus areas for process improvement efforts and future research, including improving patient education regarding expectations and innovating new pain management strategies for cervical...
Source: American Journal of Perinatology - April 23, 2024 Category: Perinatology & Neonatology Authors: Watters, Amber Ekpe, Etoroabasi Okafor, Annette Donelan, Emily Tags: Original Article Source Type: research

Resistance training-induced changes in muscle proteolysis and extracellular matrix remodeling biomarkers in the untrained and trained states
ConclusionOur results are the first to show that RT does not attenuate the acute-induced response of proteolysis and ECM remodeling-related biomarkers. (Source: European Journal of Applied Physiology)
Source: European Journal of Applied Physiology - April 23, 2024 Category: Physiology Source Type: research

Assessment of a novel BLOOMY score for predicting mortality in hospitalised adults with bloodstream infection
ConclusionThe BLOOMY 14-day and 6-month scores performed well in the estimations of mortality in our cohort and exceeded some established scores, but their adoption in clinical work remains to be seen. (Source: Infection)
Source: Infection - April 23, 2024 Category: Infectious Diseases Source Type: research

Unravelling variations: an examination of entry point selection in proximal femoral cephalomedullary nailing
ConclusionsSignificant variations exist in surgeons ’ selection of entry points for proximal femoral nailing, underscoring the task’s complexity. Experience does not prevent the choice of unfeasible entry points, emphasizing the inadequacy of a universal approach and pointing towards the necessity for a patient-specific strategy for improved outc omes.Trial registration number: DRKS00032465. (Source: Journal of Orthopaedics and Traumatology)
Source: Journal of Orthopaedics and Traumatology - April 23, 2024 Category: Orthopaedics Source Type: research

Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS
ConclusionsThe application of DLR to T2WI and DWI reduced examination time and significantly improved image quality, maintaining ADC and the diagnostic performance of VI-RADS for evaluating muscle invasion in bladder cancer.Graphical abstract (Source: Abdominal Imaging)
Source: Abdominal Imaging - April 23, 2024 Category: Radiology Source Type: research

Deep learning and capsule endoscopy: Automatic multi-brand and multi-device panendoscopic detection of vascular lesions
Conclusions This is the first proof-of-concept artificial intelligence deep learning model developed for pan-endoscopic automatic detection of vascular lesions during CE. The diagnostic performance of this CNN in multi-brand devices addresses an essential issue of technological interoperability, allowing it to be replicated in multiple technological settings. [...] Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, GermanyArticle in Thieme eJournals: Table of contents  |  Abstract  |  open access Full text (Source: Endoscopy International Open)
Source: Endoscopy International Open - April 23, 2024 Category: Gastroenterology Authors: Mascarenhas, Miguel Martins, Miguel Afonso, Jo ão Ribeiro, Tiago Cardoso, Pedro Mendes, Franscisco Andrade, Patr ícia Cardoso, Helder Mascarenhas-Saraiva, Miguel Ferreira, Jo ão Macedo, Guilherme Tags: Original article Source Type: research

IJERPH, Vol. 21, Pages 522: Navigating Diabetes: Enhancing Self-Management through Education among Diabetic People at the Early Stages of the Disease & mdash;A Systematic Review
IJERPH, Vol. 21, Pages 522: Navigating Diabetes: Enhancing Self-Management through Education among Diabetic People at the Early Stages of the Disease—A Systematic Review International Journal of Environmental Research and Public Health doi: 10.3390/ijerph21050522 Authors: Kiçaj Saliaj Çerçizaj Prifti Qirko Rogozea Diabetes self-management education helps to improve health outcomes and qualities of life for diabetic patients. This systematic review examines the effectiveness of several types of diabetes self-management education for patients at the early stages of type 2 diabetes mellitu...
Source: International Journal of Environmental Research and Public Health - April 23, 2024 Category: Environmental Health Authors: Ki çaj Saliaj Çerçizaj Prifti Qirko Rogozea Tags: Systematic Review Source Type: research

IJERPH, Vol. 21, Pages 521: Tailoring Household Disaster Preparedness Interventions to Reduce Health Disparities: Nursing Implications from Machine Learning Importance Features from the 2018 & ndash;2020 FEMA National Household Survey
This study aims to ascertain differences in the importance features of machine learning models of household disaster preparedness for four groups to inform culturally tailored intervention recommendations for nursing practice. A machine learning model was developed and tested by combining data from the 2018, 2019, and 2020 Federal Emergency Management Agency National Household Survey. The primary outcome variable was a composite readiness score. A total of 252 variables from 15,048 participants were included. Over 10% of the sample self-identified as African American/Black and 30.3% reported being 65 years of age or older....
Source: International Journal of Environmental Research and Public Health - April 23, 2024 Category: Environmental Health Authors: Meghna Shukla Taryn Amberson Tara Heagele Charleen McNeill Lavonne Adams Kevin Ndayishimiye Jessica Castner Tags: Article Source Type: research

IJERPH, Vol. 21, Pages 520: Personality Traits and Internet Addiction among Adolescent Students: The Moderating Role of Family Functioning
Conclusions: Positive family functioning correlated negatively with internet addiction among adolescents, suggesting that improving family functioning would be a valuable tactic for reducing adolescents’ susceptibility to personality-related internet addiction. (Source: International Journal of Environmental Research and Public Health)
Source: International Journal of Environmental Research and Public Health - April 23, 2024 Category: Environmental Health Authors: Ifeoma Juliet Nwufo Obinna Osita Ike Tags: Article Source Type: research

Voices from the Field: What Do Turkish Students Suggest? A Socio-Ecological Study on School Belonging
This study aims to explore students’ views on what society, principals, teachers, guidance counsellors, families and students should do to increase students’ sense of school belonging. The study is a basic qualitative research. Eight hundred and seventy-six high school students fr om Türkiye were asked to answer open ended questions about what school stakeholders should do to ensure that students feel a sense of belonging to school. This study found some different results compared to previous studies by revealing the expected behaviour of stakeholders outside the school, suc h as society and family. Belonging to schoo...
Source: Child Indicators Research - April 23, 2024 Category: Child Development Source Type: research

HGCLAMIR: Hypergraph contrastive learning with attention mechanism and integrated multi-view representation for predicting miRNA-disease associations
by Dong Ouyang, Yong Liang, Jinfeng Wang, Le Li, Ning Ai, Junning Feng, Shanghui Lu, Shuilin Liao, Xiaoying Liu, Shengli Xie Existing studies have shown that the abnormal expression of microRNAs (miRNAs) usually leads to the occurrence and development of human diseases. Identifying disease-related miRNAs contributes to studying the pathogenesis of diseases at the molecular level. As traditional biological experiments are time-consuming and expensive, computational methods have been used as an effective complement to infer the potential associations between miRNAs and diseases. However, most of the existing computational m...
Source: PLoS Computational Biology - April 23, 2024 Category: Biology Authors: Dong Ouyang Source Type: research

Demand forecasting for platelet usage: From univariate time series to multivariable models
This study is the first to utilize different methods from statistical time series models to data-driven regression and machine learning techniques for platelet transfusion using clinical predictors and with different amounts of data. We find that the multivariable approaches have the highest accuracy in general, however, if sufficient data are available, a simpler time series approach appears to be sufficient. We also comment on the approach to choose predictors for the multivariable models. (Source: PLoS One)
Source: PLoS One - April 23, 2024 Category: Biomedical Science Authors: Maryam Motamedi Source Type: research