Obstetrics and gynecology devices designed for low‐ and middle‐income countries: A narrative review
Abstract There are many barriers contributing to poor health outcomes for women in low‐ and middle‐income countries (LMICs), one of which is the lack of necessary medical devices. Presently, the development of various kinds of devices intended to improve women's health outcomes specifically in LMICs remains underrepresented in the literature; therefore,
Dhanalakshmi Thiyagarajan +2 more
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Prediction of cancer-associated thrombosis by machine learning: results from the Vienna Cancer and Thrombosis Study. [PDF]
Hoberstorfer T +8 more
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Hemoglobin-to-red cell distribution width ratio and sleep duration as predictors of pneumonia: Evidence from NHANES 2011-2018. [PDF]
Jiang Y, Chen C.
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Britain's First Heart-Lung Machine
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Machine learning-based prediction of high hospital charges after lung transplantation in chronic obstructive pulmonary disease patients. [PDF]
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The fatty liver index exhibits a dual association with chronic obstructive pulmonary disease: a machine learning-based analysis of two independent cohorts. [PDF]
Huang Y +12 more
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Letter to Dr Maria Giulia Bellicini, MD, Brescia, in response to her letter to the editor of our published paper in ESC Heart Failure (online); Worse long-term outcomes in new-onset HFpEF vs HFrEF and HFmrEF: findings from the Stockholm PREFERS study. [PDF]
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A Disposable Heart-Lung Machine
ASAIO Journal, 1993A small wave propagation pump (WPP) was incorporated into oxygenators to create a disposable heart-lung machine. The WPP provides undirectional micropulsatile laminar flow of 8 L/min against 800 mmHg. The smaller WPP can generate 4 L/min against 400 mmHg (cardioplegia), or reversed, and can create up to 150 mmHg negative pressure for suction.
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