Latest AI and machine learning research in pneumonia for healthcare professionals.
Predicting the pharmacological activity, toxicity, and pharmacokinetic properties of molecules is a ...
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiv...
This study reports the first steps toward establishing a computer vision system to help caregivers o...
INTRODUCTION: The rapid advancement of artificial intelligence (AI) has led to significant transform...
STUDY OBJECTIVES: Sleep disturbances lead to negative health outcomes and caregiver burden, particul...
Intrapleural enzyme therapy (IET) with tissue plasminogen activator (tPA) and DNase has been shown ...
The viruses threats provoke concerns regarding their sustained epidemic transmission, making the dev...
The aim of the UniProt Knowledgebase (UniProtKB; https://www.uniprot.org/) is to provide users with ...
BACKGROUND: Sarcopenia (SP), is recognized as a complication of cardiovascular disease (CVD), but fe...
Development of oral, broad-spectrum therapeutics targeting SARS-CoV-2, its variants, and related cor...
COVID-19 has not only changed the way people live but has also altered the way all organizations ope...
BACKGROUND: The rapid development of COVID-19 vaccines highlighted the transformative potential of a...
OBJECTIVE: Early and accurate detection of COVID-19 and pneumonia through medical imaging is critica...
Meningococcal meningitis poses a significant public health burden in the meningitis belt region of s...
BACKGROUND: Elder self-neglect (ESN) is usually ignored as a private problem and impairs the health ...
BACKGROUND: Pneumonia is an acute respiratory infection that has emerged as the predominant catalyst...
BACKGROUND: An increasing number of individuals use online Artificial Intelligence (AI) - based chat...
BACKGROUND: Prostate cancer is the most common malignancy among males. Prostaglandin G/H synthase (P...
The COVID-19 pandemic is marked by the successive emergence of new SARS-CoV-2 variants, lineages, an...
While very much in its infancy in terms of becoming an established tool, the use of digital technolo...
Purpose To develop a machine learning approach for classifying disease progression in chest radiogra...