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Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
Proximal humerus fractures are primarily diagnosed using radiographs. There has been a lot of interest in integrating artificial intelligence to medical analyses. This study from Acta Orthopaedica reports the use and evaluation of a deep convoluted neural network (CNN) to detect and classify humeral fractures..
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Effects of empagliflozin on risk for cardiovascular death and heart failure hospitalization across the spectrum of heart failure risk in the EMPA-REG OUTCOMER trial
Patients with type 2 diabetes and cardiovascular disease (CVD) are at a higher risk of mortality and hospitalization due to heart failure (HF). According to the EMPA-REG OUTCOMER trial, empagliflozin significantly reduced the risk of CV deaths and hospitalization due to HF, in patients diagnosed with both T2D..
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Targeting Glutamine Metabolism for Cancer Treatment
Cancer cells can manipulate the metabolism of cells to derive nutrition for their uncontrollable division and fast growth. Several studies have showed that cancer cells use glutamine, which is abundantly present in blood and muscle, for their rapid growth and proliferation. Cancer cells are ‘addicted’ to gl..
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Effect of Alirocumab on Lipoprotein(a) and Cardiovascular Risk After Acute Coronary Syndrome
High levels of lipoprotein(a), a low-density lipoprotein, have been associated with incidences of cardiovascular disease (CVD). However, there is no evidence to prove that the lowering of lipoprotein(a) by medicines reduces the risk of cardiovascular events. Alirocumab, a proprotein convertase subtilisin/kexi..
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2018 Korean Liver Cancer Association–National Cancer Center Korea Practice Guidelines for the Management of Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) is one of the most common types of cancer worldwide, ranking fourth in Korea, where the prevalence of chronic hepatitis B infection is high among the elderly. The Korean Liver Cancer Association, in collaboration with National Cancer Center, laid down the very first guideline fo..
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Exploiting IoT and big data analytics: Defining Smart Digital City using realtime urban data
Cities are transforming at an alarming rate and are now moving towards becoming “smart cities”. Smart monitoring systems and IoT devices like sensors, smartphones are key players in this metamorphosis. A Sustainable Cities and Society study discusses the establishment of a Smart Digital City, utilizing IoT ..
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Activation of Persulfate by Nanosized Zero-Valent Iron (NZVI): Mechanisms and Transformation Products of NZVI
Activated persulfate is gaining popularity in treating contaminated groundwater. Nanosized zero-valent iron (NZVI) is one of the most studied activators of persulfate, owing to its high reactivity and efficient pollutant removal. However, the underlying mechanism of persulfate activation is not clearly unders..
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Evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as coronavirus disease 2019 (COVID-19) pandemic: A global health emergency
The outbreak of COVID-19 in 2019 became a major threat to public health worldwide. It was caused by a new strain of coronavirus, named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); hence, most features of the virus were unknown to the scientific world. A study published in Science of the Total..
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Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting
Flood forecasting is extremely important for managing water resource systems and mitigating flood related damage. In a study published in Water, Le et al. have suggested a Long Short-Term Memory (LTSM) neural network to be used for forecasting incidences of flood in the Da River Basin in Vietnam. This study h..