Latest AI and machine learning research in sepsis for healthcare professionals.
Prediction of antibiotic resistance phenotypes from whole genome sequencing data by machine learning...
PURPOSE: This study investigated the potential of deep convolutional neural networks (CNN) for autom...
There has been tremendous growth in the amount of new surgical site infection (SSI) data generated....
A comprehensive screening method using machine learning and many factors (biological characteristics...
OBJECTIVE: Predicting sepsis onset with a recurrent neural network and performance comparison with I...
BACKGROUND: The availability of hundreds of city microbiome profiles allows the development of incre...
Trichomonas vaginalis (T. vaginalis) detection remains an unsolved problem in using of automated ins...
OBJECTIVE: The neonatal period of a child is considered the most crucial phase of its physical devel...
The manufacture of biotherapeutic proteins consists of complex upstream unit operations requiring mu...
OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in...
The United States of America is fighting against one of its worst-ever drug crises. Over 900 people ...
Nasopharyngeal carcinoma (NPC) is a malignancy with unique clinical biological profiles such as asso...
Application of kinetic modeling (KM) on a voxel level in dynamic PET images frequently suffers from ...
EsxA is an essential virulence factor for Mycobacterium tuberculosis (Mtb) pathogenesis as well as a...
Artur Yakimovich works in the field of computational virology and applies machine learning algorithm...
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early pre...
G protein-coupled receptors (GPCRs) play a key role in many cellular signaling mechanisms, and must ...
BACKGROUND: Numerous patients suffer from chronic wounds and wound infections nowadays. Until now, t...
UNLABELLED: Background: This is the first report demonstrating the antibiotic-modifying activity of ...
OBJECTIVES: The aim of the study was to measure the impact of antibiotic exposure on the acquisition...
Reservoir computing is a biologically inspired class of learning algorithms in which the intrinsic d...