Latest AI and machine learning research in sepsis for healthcare professionals.
At our institute, a non-suturing method for closure of the umbilical epidermis has been used in lapa...
BACKGROUND: Syphilis is an infection frequently seen with HIV, and European guidelines on the manage...
Polymyxin B and colistin are currently used as a 'last-line' treatment for multidrug-resistant Gram-...
Apolipoprotein A-I (apo A-I) an indispensable component and a major structural protein of high-densi...
Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infecti...
Study Design Retrospective analysis of prospectively collected cohort data. Objective Anterior lumba...
This study evaluated the efficacy of organic acids applied singly or in combination as postlethality...
Node similarity significantly contributes to the growth of real networks. In this paper, based on th...
Impulsivity, i.e. irresistibility in the execution of actions, may be prominent in Parkinson's disea...
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark....
Freezing of Gait (FOG) is a frequent and disabling feature of Parkinson disease (PD). Gait rehabilit...
BACKGROUND: In the past few decades, several researchers have proposed highly accurate prediction mo...
Because of unique optical behavior gold nanorods (GNRs) have attracted attention for the application...
BACKGROUND: It is unclear whether intensification of standard highly active antiretroviral therapy (...
There is a growing need to identify new, broad-spectrum antibiotics. The natural product spergualin ...
We introduce a spiking neural network of the basal ganglia capable of learning stimulus-action assoc...
Networks can be used to describe the interconnections among individuals, which play an important rol...
OBJECTIVE: The primary objective was to assess the warming sensation caused by IFF Flavour 316282 in...
OBJECTIVE: Sentinel lymph node (SLN) biopsy has been proposed as a safe and less morbid approach to ...
An existing neural network model of conditioning was used to simulate autoshaped choice. In this phe...
This work aimed to compare the predictive capacity of empirical models, based on the uniform design ...