https://pubmed.ncbi.nlm.nih.gov/38115023
This study used hyperspectral imaging and machine learning to accurately and rapidly detect gray mold and anthracnose diseases on strawberry leaves in the early stages.
https://pubmed.ncbi.nlm.nih.gov/38115022
The COVID-19 pandemic led to an increase in missed hospital appointments in a tertiary referral hospital in Oman, with no significant changes in the predictors of missed appointments. Virtual appointments, although introduced as a solution, also had high rates of non-attendance.
https://pubmed.ncbi.nlm.nih.gov/38115021
This study in northern Thailand identified challenges to achieving meaningful consent in research with low-literacy hill tribe participants, and proposed solutions such as using formal translators and community engagement.
https://pubmed.ncbi.nlm.nih.gov/38115020
This study found that patients with chronic pharyngitis in Suzhou, China have inadequate knowledge, positive attitudes, and suboptimal practices toward laryngopharyngeal reflux (LPR), with education, family history of chronic pharyngitis, and experience of reflux symptoms influencing their knowledge, attitudes, and practices.
https://pubmed.ncbi.nlm.nih.gov/38115019
Machine learning analysis of gut microbiome data shows promising potential for non-invasive prediction and diagnosis of liver cirrhosis or fibrosis, but a more diversified prediction system is needed to improve its clinical applications.
https://pubmed.ncbi.nlm.nih.gov/38115018
The monocyte to high-density lipoprotein cholesterol ratio (MHR) is significantly associated with carotid atherosclerotic plaque prevalence, particularly in low-income female residents of rural China, indicating the potential of MHR as a screening biomarker for cardiovascular disease in this population.
https://pubmed.ncbi.nlm.nih.gov/38115016
This systematic review suggests that physical activity is strongly associated with adolescent idiopathic scoliosis, and it plays an important role in its prevention, though further research is needed to determine a dose-dependent relationship.
https://pubmed.ncbi.nlm.nih.gov/38115015
The composition of the gut microbiome in critically ill patients can predict mortality risk, with a higher risk associated with an overrepresentation of certain taxa and representing a potential therapeutic target.
https://pubmed.ncbi.nlm.nih.gov/38115014
This study found that Hungarian dentists have varying levels of awareness and use of digital technologies in dentistry, and suggests that integrating teledentistry into education and primary health care is necessary and inevitable.