Results 141 to 150 of about 7,247 (289)
ABSTRACT Environmental exposure to heavy metals poses a threat to human health. Several studies documented harmful effects on the liver after arsenic and nickel exposure at concentrations beyond permissible limits. Nevertheless, the impact of a simultaneous exposure to both elements on hepatic biochemistry and histology remains unelucidated. Therefore,
Thainá Iasbik‐Lima +4 more
wiley +1 more source
Effects of pupillary dilation on ocular optical biometry outcomes in pediatric patients. [PDF]
Balsak S.
europepmc +1 more source
Scheme of preparation of D‐dimers and evaluation of D‐dimer‐bound thrombin activity. Thrombin bound to fibrin participates in ongoing fibrinogen transformation and its inhibition is impeded. Our detection system may aid in identifying patients at risk of recurrent thrombotic events or complications, regardless of the origin of the acute health problem.
Jana Stikarova +15 more
wiley +1 more source
Advantageous effect of pupil dilation on the quality of optical biometry axial length measurement in individuals with dense cataract [PDF]
Emmanuel Bettach +5 more
openalex +1 more source
Abstract Background Left atrial enlargement (LAE) is predictive of cardiovascular morbidity and mortality. Prior studies of point‐of‐care ultrasound (POCUS) interpretation methods for identifying LAE utilized older echocardiographic reference ranges. Objectives Compare the test characteristics of hospitalist‐performed POCUS techniques for identifying ...
Christopher J. Smith +7 more
wiley +1 more source
OPTICAL VERSUS ULTRASONIC BIOMETRY IN INTRAOCULAR LENS CALCULATION IN HIGH MYOPIC CATARACTOUS PATIENTS: A COMPARATIVE STUDY [PDF]
Eman Okasha +3 more
openalex +1 more source
Abstract Background Peri‐implantitis is a destructive disease affecting the tissues surrounding dental implants. Biomaterials may be applied during surgical treatment to reconstruct bony defects and support soft tissue healing. However, current evidence is unclear if these treatments increase the likelihood of peri‐implantitis resolution.
Sukirth M. Ganesan +13 more
wiley +1 more source
Abstract Background Evidence on the 16S metabarcoding of supragingival, subgingival, and salivary microbiomes in periodontal health remains limited. We aimed to analyze the diversity and potential of machine‐learning models of supragingival, subgingival, and salivary microbiomes in periodontal health. Methods A total of 848 samples (supragingival = 210;
Alba Regueira‐Iglesias +6 more
wiley +1 more source

