Latest AI and machine learning research in flu & uri for healthcare professionals.
OBJECTIVE: Swallowing dysfunction poses significant health risks for older adults. Early detection is crucial to prevent complications such as aspiration pneumonia and sarcopenia. Acoustic analysis of voice, speech, and cough provides a promising, noninvasive method for screening for swallowing dysfunction. Here, we present an Expert Consensus Statement (ECS) on the use of select acoustic metrics ...
PURPOSE: Surveillance of arboviral vectors and screening for probable infection is very important for the planning of vector control programs, especially in countries where these activities are just beginning. In the present study, we conducted mosquito surveillance at 26 locations predicted to be at risk (according to our recently published study using Machine learning) in the Marrakech-Safi regi...
ETHNOPHARMACOLOGICAL RELEVANCE: Ophiopogon japonicus (Thunb.) Ker Gawl. is a traditional Chinese medicinal herb commonly used to "nourish yin and mois...
PURPOSE OF REVIEW: Generative artificial intelligence, particularly large language models, has emerged as a promising tool for processing the vast amo...
Rapid urbanization, migration and climate change are accelerating the appearance and diversification of respiratory viruses, overwhelming the pace at ...
BACKGROUND: Mortality among hospitalized COVID-19 patients changed markedly across successive epidemic waves as circulating variants shifted, populati...
BACKGROUND: Globally, pneumonia remains the single biggest cause of mortality in children under 5 years of age. This study sought to train and test a ...
In this paper, a dynamic epidemic model of botnet attack propagation in scale-free networks is introduced based on the epidemic model. The proposed at...
BACKGROUND: Postpartum ovarian vein thrombosis (POVT) is a rare but serious condition, often presenting with nonspecific symptoms and potentially lead...
The latest episode of cough syrup-associated pediatric deaths in India linked to the reported diethylene glycol (DEG) contamination reverberates a lon...
BACKGROUND: Chaotic dynamics has been the subject of both theoretical and empirical research in epidemiology, with the most recent research strongly f...
OBJECTIVE: To develop and validate a multivariate Long Short-Term Memory (LSTM) model that integrates multi-source surveillance data for forecasting i...
Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despite combined treatments, including surgical removal...
Prompt diagnosis of group A streptococcal pharyngitis is essential for primary prevention of acute rheumatic fever and rheumatic heart disease, yet af...
BACKGROUND: Despite the human papillomavirus (HPV) vaccine being available to males for the past 12 years, adolescent males continue to lag in HPV vac...
Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication to determine the underlying cause. Corticosteroid-r...
Emerging and re-emerging infectious diseases (EIDs) represent an escalating threat to global public health, as exemplified by outbreaks of COVID-19, E...
BACKGROUND: Cough sounds are accessible, non-invasive biomarkers for respiratory disease assessment and can be captured using consumer-grade smartphon...
Traditional epidemic models have limitations in capturing spatial heterogeneity, describing population-oriented migration, and integrating real data. ...
Multi-host pathogens vary in how they utilise different hosts, yet the traits determining which species occupy central positions in transmission netwo...