Latest AI and machine learning research in sepsis for healthcare professionals.
Accurate and timely segmentation of COVID-19 infection regions is critical for effective diagnosis a...
Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...
BACKGROUND: Periprosthetic joint infection leads to significant morbidity and mortality after total ...
BACKGROUND: The aim of this study was to develop and internally validate an interpretable machine le...
Sepsis represents a significant global health challenge, necessitating early detection and effective...
OBJECTIVE: This study aimed to construct a model based on machine learning to predict new HIV infect...
With the rapid emergence of flexible electronics, flexible pressure sensors are of importance in var...
INTRODUCTION: Sepsis, a critical medical condition resulting from an irregular immune response to in...
Developing effective antibiotics against Gram-negative bacteria remains challenging due to their pro...
BACKGROUND: Antibiotics are essential for medical procedures, food security, and public health. Howe...
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 paper investigates the use of machine learning techniques on hyperspectral images of pistachios...
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...
OBJECTIVE: This study developed and validated a stacked ensemble machine learning model to predict t...