APPLICATION OF DEEP LEARNING IN CHEST X-RAY ABNORMALITY DETECTION

Application of deep learning in chest X-ray abnormality detection

Lung diseases are the most common diseases worldwide, especially in Vietnam.Certain thoracic lung diseases can SAGE LEAF even lead to dangerous conditions for patients.X-ray are a useful imaging modality for detecting the abnormalities in the chest area.Furthermore, artificial intelligence can improve the detection of abnormalities in X-ray images,

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Small molecule drug discovery targeting the JAK-STAT pathway

The Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway Fusewire functions as a central hub for transmitting signals from more than 50 cytokines, playing a pivotal role in maintaining hematopoiesis, immune balance, and tissue homeostasis.Dysregulation of this pathway has been implicated in various diseases, including im

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New normal behavior toward the Covid 19 transmission

Background: The high level of knowledge, postive attitude and community behavior in breaking the chain of transmission of Covid 19 became the foundation to stop the Covid 19 disease outbreak in East Java, Indonesia, showing the high rate Fusewire of Middle East Respiratory Syndrome-Coronavirus (MERS-CoV) infection due to the Covid 19 disease.The pu

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