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, ...

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 ...

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 ...

The Administration for Strategic Preparedness and Response May 15 announced it is launching four pharmaceutical manufacturing projects using artificial intelligence and other technologies in ...

SpotitEarly, a biotech startup that uses AI and dogs to detect cancer using an at-home test, announced its launch into the U.S. market with $20.3 million in funding. The company has received funding ...