People have traditionally associated being 'not ill' with being 'healthy'. This concept has changed due to the improvement of Taiwan's population structure, advances in medical care, and better education. The word 'health' is defined by the World Health Organization as a state of complete physical, mental, and social well-being, and not merely the absence of disease or infirmity. In the future, people in Taiwan must address the challenges of population aging and create a society oriented to the long-term care needs of its citizens. People have different healthcare requirements during the respective stages of healthy, sub-healthy, and disability. Advancing technology has allowed the creation of many healthcare applications such as "health big data" that incorporate Internet of things (IoT) capabilities. Applying artificial intelligence opens many new possibilities and solutions. This article was written to introduce the application of big data techniques in smart healthcare that are appropriate to the three stages of healthy, sub-healthy, and disability.
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http://dx.doi.org/10.6224/JN.202010_67(5).04 | DOI Listing |
Sci Rep
December 2024
Bao Feng Key Laboratory of Genetics and Metabolism, Beijing, China.
Many lipid biomarkers of stroke have been identified, but the lipid metabolism in elderly patients with leukoaraiosis remains poorly understood. This study aims to explore lipid metabolic processes in stroke among leukoaraiosis patients, which could provide valuable insights for guiding future antithrombotic therapy. In a cohort of 215 individuals undergoing MRI, 13 stroke patients were matched with controls, and 48 stroke patients with leukoaraiosis were matched with 40 leukoaraiosis patients.
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December 2024
Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia.
Focusing on the Yashkun population of Gilgit-Baltistan, an administrative territory in northern Pakistan, our study investigated mtDNA haplotypes as indicators of ancient gene flow and genetic diversity. Genomic DNA was extracted and evaluated for quality using agarose gel electrophoresis. The complete control region of mtDNA (nt 16024-576) was amplified via PCR, and sequencing was performed using the Big Dye Terminator Kit on an Applied Biosystems Genetic Analyzer.
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December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
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December 2024
Department of Urology Surgery, The First Affiliation Hospital of China Medical University, Shenyang, 110000, Liaoning, China.
To evaluate the predictive utility of N6-methyladenosine (m6A)-associated long non-coding RNAs (lncRNAs) for the prognosis and immunotherapy response in papillary renal cell carcinoma (pRCC). Transcriptomic data of pRCC samples were extracted from the TCGA database. The m6A-related lncRNAs were identified by Pearson correlation analysis.
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December 2024
The Engineering & Technical College of Chengdu University of Technology, Xiaoba Road, Leshan, 614000, China.
Many conditions, such as pulmonary edema, bleeding, atelectasis or collapse, lung cancer, and shadow formation after radiotherapy or surgical changes, cause Lung Opacity. An unsupervised cross-domain Lung Opacity detection method is proposed to help surgeons quickly locate Lung Opacity without additional manual annotations. This study proposes a novel method based on adversarial learning to detect Lung Opacity on chest X-rays.
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