Latest AI and machine learning research in bacterial infection for healthcare professionals.
There is growing excitement about the clinical use of artificial intelligence and machine learning (...
BACKGROUND: Teicoplanin has been widely used in patients with infections caused by Staphylococcus au...
Acetylation of lysine residues (K-Ace) is a post-translation modification occurring in both prokar...
The computational prediction and design of peptide binders targeting specific linear epitopes is c...
Mycetoma is a chronic and neglected inflammatory disease prevalent in tropical and subtropical reg...
Cerebral microbleeds, markers of brain damage from vascular and amyloid pathologies, are linked to...
Sepsis, a multifaceted syndrome driven by an imbalanced host response to infection, remains a signif...
BACKGROUND: Early risk assessment is needed to stratify Staphylococcus aureus infective endocarditis...
In recent years, artificial intelligence (AI) has gained momentum in many fields of daily live. In h...
Explainable artificial intelligence (AI) focuses on developing models and algorithms that provide tr...
Antibiotic resistance is recognized as an imminent and growing global health threat. New antimicrobi...
Engineering enzyme-substrate binding pockets is the most efficient approach for modifying catalytic ...
Sepsis is the leading cause of in-hospital mortality in the USA. Early sepsis onset prediction and...
In recent years, healthcare professionals are increasingly emphasizing on personalized and evidenc...
Gram staining has been one of the most frequently used staining protocols in microbiology for over...
A linear attention mechanism is described to extend the context length of an encoder only transfor...
We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosi...
MOTIVATION: ADP-ribosylation is a critical modification involved in regulating diverse cellular proc...
Healthcare-associated infections resulting from cross-contamination, particularly from the hands of ...
Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the developme...
Recognition of familiar music on brainwaves through machine learning (ML) can be instrumental in inn...