Latest AI and machine learning research in bacterial infection for healthcare professionals.
MOTIVATION: World Health Organization estimates that there were over 10 million cases of tuberculosi...
Metabolic models condense biochemical knowledge about organisms in a structured and standardised w...
Cryptographic Self-Selection is a paradigm employed by modern Proof-of-Stake consensus protocols t...
Pathogen identification is pivotal in diagnosing, treating, and preventing diseases, crucial for c...
Mobile genetic elements (MGEs) are as ubiquitous in nature as they are varied in type, ranging fro...
Maximum matching is one of the most fundamental combinatorial optimization problems with applicati...
High-throughput DNA sequencing technologies decode tremendous amounts of microbial protein-coding ge...
BACKGROUND: Group A Streptococcus (GAS) is the predominant bacterial pathogen of pharyngitis in chil...
OBJECTIVE: Sepsis is an organ malfunction disease that may become fatal and is commonly accompanied ...
Predicting interactions between microbes and hosts plays critical roles in microbiome population gen...
Human beings possess trillions of microbial cells in a symbiotic relationship. This relationship ben...
SUMMARY: We present Coracle, an artificial intelligence (AI) framework that can identify association...
Antimicrobial resistance is a significant public health concern. The use of selective serotonin reup...
Antibiotics have been crucial in advancing medical treatments, but the growing threat of antibiotic ...
BACKGROUND: Systemic multi-organ dysfunction resulting from dysregulated immune responses in the hos...
Sepsis is caused by infection, which can ultimately lead to multiple organ dysfunction and even life...
BACKGROUND: The widespread use of antibiotics has led to a gradual adaptation of bacteria to these d...
BACKGROUND: Early identification of sepsis has been shown to significantly improve patient prognosis...
To conduct clinical pharmacy research, we often face the limitations of conventional statistical met...
Several machine learning models have been proposed to predict vancomycin (VCM)-associated nephrotoxi...
Several research studies have demonstrated the potential use of cerebrospinal fluid biomarkers such ...