Latest AI and machine learning research in sepsis for healthcare professionals.
The current detection method for Chikungunya Virus (CHIKV) involves an invasive and costly molecular...
OBJECTIVE: To identify HBV-related genes (HRGs) implicated in osteoporosis (OP) pathogenesis and dev...
UV/sulfite-based advanced reduction processes (ARP) have attracted increasing attention due to their...
Avian influenza (AI) is a viral infection that profoundly affects global poultry production. This st...
Verticillium wilt (VW) is a soil-borne vascular disease that affects upland cotton and is caused by ...
Antibiotics are misused and discharged into environmental water, posing a constant potential threat ...
Multiple sclerosis (MS) is a demyelinating neurological disorder with a highly heterogeneous clinica...
This paper explores the potential of artificial intelligence, machine learning, and big data analyti...
At present, the diagnosis of lower respiratory tract infections (LRTIs) is difficult, and there is a...
This retrospective study used 10 machine learning algorithms to predict the risk of healthcare-assoc...
Liver cancer, recognized as a significant global health issue, is increasingly correlated with Hepat...
Antimicrobial resistance (AMR) presents a significant threat to global healthcare. Proteus mirabilis...
Neurodegenerative diseases are group of debilitating and progressive disorders that primarily affect...
Conventional patient monitoring methods require skin-to-skin contact, continuous observation, and lo...
BACKGROUND: Sepsis poses a critical threat to hospitalized patients, particularly those in the Inten...
OBJECTIVES: Integrating pathogen genomic surveillance with bioinformatics can enhance public health ...
Antibiotic residues have been found in several aquatic ecosystems as a result of the widespread use ...
The risk behaviors underlying the most prevalent chronic noncommunicable diseases (NCDs) encompass a...
BackgroundTo develop and validate a mortality prediction model for patients with sepsis-associated A...
From early in the coronavirus disease 2019 (COVID-19) pandemic, there was interest in using machine ...
BACKGROUND: Sepsis is a heterogeneous syndrome, and enrollment of more homogeneous patients is essen...