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Introduction: Although evidence exists on the impact of microbiota on pregnancy outcomes in many high-resource settings, there is a lack of research in many low-resource settings like Ethiopia. This study aims to fill this gap by studying the gut and vaginal microbiota changes throughout pregnancy and assess how these changes relate to pregnancy outcomes among a cohort of pregnant women in eastern Ethiopia.

Methods And Analysis: Vaginal and stool samples will be collected using DNA/RNA Shield Collection kits three times starting at 12-22 weeks, 28-36 weeks and at birth (within 7 days).

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Twenty-one Years of Undergraduate Medical Student Research Training at the University of the Free State (UFS), South Africa.

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Department of Biostatistics, School of Biomedical Sciences, Faculty of Health Sciences, University of the Free State, 205 Nelson Mandela Drive, Bloemfontein, 9300 South Africa.

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Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.

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