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| http://dx.doi.org/10.1148/ryai.220054 | DOI Listing |
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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision support.
EBioMedicine
December 2024
Department of Anaesthesiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
Background: Clinical decision-making is increasingly shifting towards data-driven approaches and requires large databases to develop state-of-the-art algorithms for diagnosing, detecting and predicting diseases. The intensive care unit (ICU), a data-rich setting, faces challenges with high-frequency, unstructured monitor data. Here, we showcase a successful example of a data pipeline to efficiently move patient data to the cloud environment for structured storage.
View Article and Find Full Text PDFImplementing digital respiratory technologies for people with respiratory conditions: A protocol for a scoping review.
PLoS One
December 2024
School of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
The value of 'data-enabled', digital healthcare is evolving rapidly, as demonstrated in the COVID-19 pandemic, and its successful implementation remains complex and challenging. Harmonisation (within/between healthcare systems) of infrastructure and implementation strategies has the potential to promote safe, equitable and accessible digital healthcare, but guidance for implementation is lacking. Using respiratory technologies as an example, our scoping review process will capture and review the published research between 12th December 2013 to 12th December 2023.
View Article and Find Full Text PDFA stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe.
Eur Arch Psychiatry Clin Neurosci
December 2024
Department of Psychiatry, University of Muenster, Muenster, Germany.
Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal.
View Article and Find Full Text PDFSERS Sensors with Bio-Derived Substrates Under the Way to Agricultural Monitoring of Pesticide Residues.
Biosensors (Basel)
November 2024
A.N. Bach Institute of Biochemistry, Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky Prospect 33, 119071 Moscow, Russia.
Uncontrolled use of pesticides in agriculture leads to negative consequences for the environment, as well as for human and animal health. Therefore, timely detection of pesticides will allow application of measures to eliminate the excess of maximum residue limits and reduce possible negative consequences in advance. Common methods of pesticide analysis suffer from high costs, and are time consuming, and labor intensive.
View Article and Find Full Text PDFLiving with pain and Parkinson's developing an understanding of the impact, trajectory and pain management needs: a qualitative interview study protocol.
BMJ Open
December 2024
Nursing, Midwifery and Health, Northumbria University, Newcastle upon Tyne, UK.
Introduction: Pain is reported as one of the most troubling symptoms for people with Parkinson's (PwP); however, the literature exploring their lived experience of pain and how to manage it is limited. Pain affects PwP at all stages of their condition and can fluctuate and change over time. Therefore, it is pertinent to speak to PwP to understand their experiences of pain to inform the development of tailored behavioural interventions to manage pain.
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