Latest AI and machine learning research in sepsis for healthcare professionals.
Severe community-acquired pneumonia (sCAP) is a major global health challenge, with high morbidity a...
Corticosteroids decrease the duration of organ dysfunction in sepsis and a range of overlapping and ...
BACKGROUND: The Surviving Sepsis Campaign strongly recommends that all hospitals screen for sepsis a...
Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can ...
Understanding how pupil-linked arousal couples with cortical state is crucial for uncovering the neu...
Atopic dermatitis is a chronic skin disease, causing itching and recurrent eczematous lesions. In Da...
A nanozyme sensor array was developed combining with machine learning algorithms for the effective i...
This study introduces PROFIS, a new generative model capable of the design of structurally novel and...
This paper discusses ethics-based strategies for mitigating bias in machine learning models used to ...
There is a lack of effective means for precise drug delivery of gastrointestinal diseases. Herein we...
: Antimicrobial resistance (AMR) poses a growing threat to veterinary medicine and food safety. This...
Patients with intracerebral hemorrhage (ICH) are highly susceptible to sepsis. This study evaluates ...
We investigate the dynamics of dual disease epidemics within the spatial rock-paper-scissors model...
Sepsis is a life-threatening condition driven by dysregulated immune responses, resulting in organ d...
SUMMARY: Currently available and frequently used tools for annotating antibiotic resistance genes (A...
Sepsis, septic shock, and cardiogenic shock are life-threatening conditions associated with high mor...
Parkinson's disease (PD) is a neurodegenerative disorder, manifesting with motor and non-motor sym...
Sepsis is a life threatening medical condition that occurs when the body has an extreme response t...
Although large language models (LLMs) have demonstrated impressive reasoning capabilities across g...
Background and objective The diagnosis of periprosthetic joint infection (PJI) relies on established...
Representation bias in health data can lead to unfair decisions and compromise the generalisability ...