Latest AI and machine learning research in bacterial infection for healthcare professionals.
Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digi...
BACKGROUND: In hospitalized patients, inadequate antibiotic dosage leading to bacterial resistance a...
Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting ...
Antimicrobial peptides (AMPs) are a promising alternative for combating bacterial drug resistance. W...
The emergence of antibiotic-resistant bacteria poses a severe threat to food safety and human health...
Antimicrobial peptides (AMPs) are attractive candidates to combat antibiotic resistance for their ca...
Sepsis represents a significant global health challenge, necessitating early detection and effective...
Selenoproteins are a special group of proteins with major roles in cellular antioxidant defense. The...
Although flow cytometry produces reliable results, the data processing from gating to fingerprinting...
INTRODUCTION: Sepsis, a critical medical condition resulting from an irregular immune response to in...
Computer vision techniques can expedite the detection of bacterial growth in wastewater treatment pl...
BACKGROUND: Antibiotics are essential for medical procedures, food security, and public health. Howe...
Antimicrobial peptides (AMPs) offer a highly potent alternative solution due to their broad-spectrum...
BACKGROUND: Antimicrobial resistances pose significant challenges in health care systems. Clinical d...
Bacterial infectious diseases pose significant challenges to public health, emphasizing the need for...
BACKGROUND: Sepsis-induced coagulopathy (SIC) is a complex condition characterized by systemic infla...
The detection and quantification of veterinary drug residues in meat remain a significant challenge ...
With the explosive increase in genome sequence data, perhaps the major challenge in natural-product-...
The increase in antimicrobial resistance presents a major challenge in treating bacterial infections...
OBJECTIVE: This study developed and validated a stacked ensemble machine learning model to predict t...
BACKGROUND: Sepsis is a life-threatening disease causing millions of deaths every year. It has been ...