Latest AI and machine learning research in sepsis for healthcare professionals.
INTRODUCTION: Cytomegalovirus infection (CMV) in a kidney transplant recipient (KTR) is a serious co...
Tolerance to stress conditions is vital for organismal survival, including bacteria under specific e...
Coronavirus disease 2019 (COVID-19), a recent viral pandemic that first began in December 2019, in H...
is a Gram-negative bacillus included among the six "ESKAPE" microbial species with an outstanding a...
OBJECTIVE: Computed tomography (CT) provides rich diagnosis and severity information of COVID-19 in ...
PURPOSE: Dopamine transporter (DAT) SPECT imaging is routinely used in the diagnosis of Parkinson's ...
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates ...
INTRODUCTION: Within a few months coronavirus disease 2019 (COVID-19) evolved into a pandemic causin...
Macrofuran is widely used as an antibiotic for the treatment of urinary tract infections. Neverthele...
Antibiotic resistance genes (ARGs) have been reported to threaten the public health of beachgoers wo...
The recognition of COVID-19 infection from X-ray images is an emerging field in the learning and com...
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health co...
BACKGROUND: The large tumor antigen (LT-Ag) and major capsid protein VP1 are known to play important...
Source identification in networks has drawn considerable interest to understand and control the infe...
A complicated clinical course for critically ill patients admitted to the intensive care unit (ICU) ...
BACKGROUND: Presumed serious infection (PSI) is defined as a blood culture drawn and new antibiotic ...
Antimicrobial resistance is a major global health threat and its development is promoted by antibiot...
BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwi...
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) h...
This study aimed to develop a machine learning algorithm to identify key clinical measures to triag...
Early detection of sepsis can be life-saving. Machine learning models have shown great promise in ea...