Study estimates that over 800 million people globally will be living with back pain by 2050 TheLancet
In Australia, there will be a nearly 50 percent increase in cases by 2050. The landscape of back pain cases is set to shift, with the biggest increases in back pain cases to be in Asia and Africa."Our analysis paints a picture of growing low back pain cases globally, putting enormous pressure on our healthcare system.
A widespread misconception is that low back pain mostly affects adults of working age. But researchers say this study has confirmed that low back pain is more common among older people. Low back pain cases were also higher among females compared to males. "Ministries of health cannot continue ignoring the high prevalence of musculoskeletal conditions including low back pain. These conditions have important social and
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UmetaFlow: an untargeted metabolomics workflow for high-throughput data processing and analysis - Journal of CheminformaticsMetabolomics experiments generate highly complex datasets, which are time and work-intensive, sometimes even error-prone if inspected manually. Therefore, new methods for automated, fast, reproducible, and accurate data processing and dereplication are required. Here, we present UmetaFlow, a computational workflow for untargeted metabolomics that combines algorithms for data pre-processing, spectral matching, molecular formula and structural predictions, and an integration to the GNPS workflows Feature-Based Molecular Networking and Ion Identity Molecular Networking for downstream analysis. UmetaFlow is implemented as a Snakemake workflow, making it easy to use, scalable, and reproducible. For more interactive computing, visualization, as well as development, the workflow is also implemented in Jupyter notebooks using the Python programming language and a set of Python bindings to the OpenMS algorithms (pyOpenMS). Finally, UmetaFlow is also offered as a web-based Graphical User Interface for parameter optimization and processing of smaller-sized datasets. UmetaFlow was validated with in-house LC–MS/MS datasets of actinomycetes producing known secondary metabolites, as well as commercial standards, and it detected all expected features and accurately annotated 76% of the molecular formulas and 65% of the structures. As a more generic validation, the publicly available MTBLS733 and MTBLS736 datasets were used for benchmarking, and UmetaFlow detected more than 90% of all ground truth features and performed exceptionally well in quantification and discriminating marker selection. We anticipate that UmetaFlow will provide a useful platform for the interpretation of large metabolomics datasets. Graphical Abstract
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Aviation will need €300bn for EU green hydrogen switch, study finds\n\t\t\tJournalists in 50+ countries follow the constant flow of money made and lost in oil & gas while\n\t\t\ttracking emerging trends and opportunities in the future of energy. Don’t miss our exclusive\n\t\t\tnewsletter, Energy Source.\n\t\t
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