The final, formatted version of the article will be published soon. Abstract : This paper presents PneuNet, our unique convolutional neural network (CNN) structured to improve pneumonia identification ...

P. aeruginosa is a highly adaptable bacterium and a major cause of hospital-acquired pneumonia (HAP) or ventilator-associated pneumonia (VAP) cases, which can lead to further spread of infection, ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

Background: Aspiration pneumonia is a serious complication after cardiac surgery, particularly among older patients. Preoperative oral frailty—decline in oral function including poor hygiene and ...

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A NOVEL, simplified loop-mediated isothermal amplification (LAMP) method for pneumonia pathogen detection has demonstrated significant potential for point-of-care applications in low-resource settings ...

This repository contains code for training and evaluating a convolutional neural network (CNN) model to detect pneumonia from chest X-ray images. we trained the model using blow mentioned dataset and ...

Abstract: Pneumonia remains a significant global health concern caused by bacteria, viruses, and fungi, necessitating timely and accurate diagnosis for effective treatment. This study proposes a deep ...