Latest AI and machine learning research in sepsis for healthcare professionals.
Approximately 15% of patients suspected of having Parkinson's disease (PD) present dopamine active t...
Clonorchis sinensis (C. sinensis) is mainly prevalent in Northeast and South China, with Guangxi bei...
BACKGROUND: Antimicrobial resistances pose significant challenges in health care systems. Clinical d...
BACKGROUND: Sepsis-induced coagulopathy (SIC) is a complex condition characterized by systemic infla...
This study aimed to develop an interpretable machine learning model to predict methylene blue (MB) r...
INTRODUCTION: Valganciclovir, a prodrug of ganciclovir (GCV), is used to prevent cytomegalovirus inf...
With the explosive increase in genome sequence data, perhaps the major challenge in natural-product-...
The increase in antimicrobial resistance presents a major challenge in treating bacterial infections...
Epidemiologists often handle large datasets with numerous variables and are currently seeing a growi...
BACKGROUND: Sepsis is an organ dysfunction caused by a dysregulated host response to infection. Earl...
OBJECTIVE: This study developed and validated a stacked ensemble machine learning model to predict t...
BACKGROUND: Sepsis is a life-threatening disease causing millions of deaths every year. It has been ...
Antimicrobial resistance (AMR) presents a significant global challenge, creating an urgent need for ...
Phagocytosis is a critical component of innate immunity that helps the body defend itself against in...
In response to the increasing concern over antibiotic resistance and the limitations of traditional ...
While the useful armory of antibiotic drugs is continually depleted due to the emergence of drug-res...
The COVID-19 pandemic brought several diagnostic challenges, including the post-infectious sequelae ...
Hepatitis C virus (HCV) infection represents a significant contributor to chronic liver disease on a...
BACKGROUND: Heteroresistance (HR) is a significant type of antibiotic resistance observed for severa...
BACKGROUND: Men who have sex with men (MSM) are at high risk for HIV infection and sexually transmit...
Integrating genome-scale metabolic networks with reactive transport models (RTMs) provides a detaile...