Systems biology, particularly of mammalian cells, is data starved. However, technologies are now in place to obtain rich data, in a form suitable for model construction and validation, that describes the activities, states and locations of cell-signalling molecules. The key is to use several measurement technologies simultaneously and, recognizing each of their limits, to assemble a self-consistent compendium of systematic data.
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http://dx.doi.org/10.1038/nrm2042 | DOI Listing |
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
Institute of Health and Care Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Aim: To explore the meaning of adaptation after visceral transplantation in terms of patient experiences, symptoms, self-efficacy, transplant-specific and mental well-being.
Design: A convergent parallel mixed-methods study, consisting of interviews and generic as well as transplant-specific questionnaires. Results were integrated using meta-inference.
J Clin Nurs
January 2025
City St George's, University of London, London, UK.
Background: Despite the high acuity of coronary care unit (CCU) patients and their risk of deterioration, little is known about how nurses assess them.
Aim: Increase understanding of the scope of nurses' assessments of deteriorating CCU patients.
Design: Online mixed methods survey.
Nutrients
January 2025
Department of Community Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.
Background/objectives: This study aimed to investigate the lifestyle and the behavioral factors that influence the nutritional status of adolescents from Transylvania, Romania.
Methods: The Global School-Based Student Health Survey (GSHS) was used to collect data from 900 adolescents between 11 and 18 years old from the Transylvania region, Romania. This study assessed nutritional status by calculating BMI indicators adjusted to Z-Score, cut-off points according to the World Health Organization (WHO), using self-reported weight and height; perceived health status; food vulnerability; physical activity; addictive behaviors (cigarette, alcohol and drug consumption); number of hours spent in front of the computer/phone; hand and oral hygiene; sitting time/day; and sleep.
Nutrients
January 2025
Department of Food Science and Nutrition, School of Environment, University of Aegean, 81400 Myrina, Lemnos, Greece.
Background/objectives: The COVID-19 pandemic has led to detrimental effects on diverse aspects of the mental and physical health of the general population worldwide. The elderly are more susceptible to COVID-19 infection compared to younger age groups. In this aspect, the purpose of the current survey is to evaluate the effect of the COVID-19 pandemic on the interrelationships among the sociodemographic and anthropometric characteristics, depressive behavior, quality of life, cognition status, physical activity and nutritional status of older adults.
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