Latest AI and machine learning research in infectious disease for healthcare professionals.
BACKGROUND: Recombinant glucokinase (GLK), an important enzyme for blood glucose diagnostics, is commonly prepared in Escherichia coli (E.coli )for laboratory research and related biosynthetic applications. In small-scale laboratory cultivation, complex media are often used because of their convenience and strong growth-supporting capacity, but their ill-defined composition and batch-to-batch vari...
OBJECTIVES: Hearing aids are the primary technology used to compensate for hearing loss, yet conventional signal treatment algorithms often fall short of providing optimal performance in noisy situations. The rise of Artificial Intelligence (AI) is opening new avenues for more powerful hearing aids. However, information available for patients regarding AI and hearing aids is scarce. The purpose of...
Defining the maturity of long-lived antibody-secreting cells (ASCs) is important for vaccine optimization and research into autoimmune diseases, but c...
The British Society of Antimicrobial Chemotherapy (BSAC) Academic Publishing Workshop, held at the Birmingham City Event Centre in the UK from 19 to 2...
The coronavirus disease 2019 pandemic profoundly disrupted global health systems, exacerbating preexisting inequalities in access to and quality of ca...
Autoimmune diseases (AIDs) affect 5-10% of the global population, yet effective diagnosis and treatment remain challenging due to their complexity and...
Mycotoxins, toxic secondary metabolites generated by fungi such as Aspergillus, Fusarium, and Penicillium species pose substantial concerns to food sa...
Early detection of spider mite emergence is highly challenging due to the lack of visible symptoms and subtle physiological changes. To address the ra...
Bacteria use antagonistic interbacterial weapons, such as polymorphic toxin secretion systems (TSS), to compete for niches in the human gut microbiome...
BACKGROUND: Antimicrobial resistance genes (ARG) and virulence factors (VFs) are central contributors to the global health crisis surrounding drug-res...
BACKGROUND: Mitochondrial metabolism (MM) abnormalities have been implicated in multiple diseases, but its contribution to sepsis-associated encephalo...
The widespread contamination of the environment with antibiotic residues is a significant factor contributing to the global crisis of antimicrobial re...
BACKGROUND: Infections are a leading cause of hospitalizations and emergency department (ED) visits in home care. Existing prediction tools often unde...
BACKGROUND: Early sepsis diagnosis in children remains challenging due to nonspecific presentations. This study aimed to develop an interpretable mach...
Access to routine viral load (VL) testing for people living with HIV (PLHIV) remains limited in many low-resource settings. There is a need for pragma...
INTRODUCTION: Acute febrile illnesses are significant clinical challenge in tropical regions due to overlapping symptomatology among infections such a...
The success of COVID-19 mRNA vaccines has made the in-solution stability optimization of mRNAs a key objective. However, we still lack a complete unde...
This study integrates agent-based modeling (ABM) and causal machine learning (ML) to assess the impact of clinicians' adherence to antibiotic guidelin...
Contemporary clinical practice still produces unstructured data like free-text reports or scans, hindering automated interpretation by knowledge-based...
Detecting tuberculosis on X-rays remains complex and challenging for clinicians. In Burkina Faso, the scarcity of radiologists and their heavy workloa...