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Background: This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. By employing this method, the study aims classify children's nutritional status and predict transitions between different undernutrition states over time. This analysis is based on longitudinal data extracted from the Young Lives cohort study, which tracked 1,997 Ethiopian children across five survey rounds conducted from 2002 to 2016.

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Association between the atherogenic index of plasma and long-term risk of type 2 diabetes: a 12-year cohort study based on the Japanese population.

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Department of Cardiology, Zhongda Hospital, Southeast University, No. 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.

Background: Atherosclerotic dyslipidemia is associated with an increased risk of type 2 diabetes (T2D). Although previous studies have demonstrated an association between the atherogenic index of plasma (AIP) and insulin resistance, there remains a scarcity of large cohort studies investigating the association between AIP and the long-term risk of T2D in the general population. This study aims to investigate the potential association between AIP and the long-term risk of T2D in individuals with normal fasting plasma glucose levels.

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Bidirectional approach of Punica granatum natural compounds: reduction in lung cancer and SARS-CoV-2 propagation.

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Department of Biotechnology, Era's Lucknow Medical College and Hospital, Era University, Lucknow, India.

The spreading of COVID-19 has posed a risk to global health, especially for lung cancer patients. An investigation is needed to overcome the challenges of COVID-19 pathophysiology and lung cancer disease. This study was designed to evaluate the phytoconstituents in Punica granatum peel (PGP), its anti-lung cancer activity, and in silico evaluation for antiviral potential.

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Background: In Jordan, obesity has emerged as a significant public health concern, particularly among females, with a prevalence of 43.1%. This rising trend, exacerbates the burden of non-communicable diseases and places increasing strain on the healthcare system.

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Novel predictive biomarkers for atonic postpartum hemorrhage as explored by proteomics and metabolomics.

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Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Peking University Third Hospital, Peking University Third Hospital), National Center for Healthcare Quality Management in Obstetrics, Beijing, 100191, China.

Background: Postpartum hemorrhage (PPH) is the leading cause of maternal mortality worldwide, with uterine atony accounting for approximately 70% of PPH cases. However, there is currently no effective prediction method to promote early management of PPH. In this study, we aimed to screen for potential predictive biomarkers for atonic PPH using combined omics approaches.

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