Latest AI and machine learning research in sepsis for healthcare professionals.
Acute infectious diseases are among the leading causes of medical consultations and hospitalizations...
Antibiotics with new mechanisms are highly pursued to address the threat of infections caused by dru...
Dynamic regulation of midbrain dopamine neuron activity is necessary for diverse processes including...
Defensive survival behaviors are shaped by both danger attributes and internal physiological states....
Sepsis and heart failure share early-warning physiology but require divergent treatments, complicati...
Electrospun fibers loaded with antibiotics or calcium hydroxide are being developed as intracanal ca...
Sepsis is a leading cause of hospital mortality, yet timely recognition is hampered by nonspecific p...
Objectives: Dentists prescribe approximately one in ten antibiotics worldwide, yet antimicrobial ste...
Objective and scalable approaches for detecting subtle motor impairment in isolated REM sleep behavi...
Antimicrobial resistance is a public health challenge, driving the need for rapid, cost-effective di...
Inappropriate antibiotic use presents a major global health challenge, particularly in low-resource ...
Acinetobacter baumannii is a high priority Gram negative opportunistic pathogen known for its high r...
Currently used sepsis severity indices rely on fixed variables and weights established decades ago, ...
Background: Perioperative observational studies are increasingly used to evaluate anesthesia practic...
Offline reinforcement learning (RL) provides a promising framework for learning and evaluating treat...
Immune-epithelial interactions govern the initiation and progression of airway diseases, yet their h...
Background: In two large studies conducted in Bangladesh, our recently developed artificial intellig...
Extracting clinical information from Dutch free-text medical notes requires language-specific annota...
Background: Machine learning models leveraging electronic health records (EHRs) can support earlier ...
Animals can adapt their behavioral responses to environmental cues by learning from experience. This...
Malaria elimination is shaped by complex interactions among climatic, environmental, socioeconomic, ...