Infectious Disease

Novel Imaging Approaches for Visualising Root-Mycorrhizal Fungal Interactions.

Mycorrhizal fungi form essential symbiotic relationships with plant roots, facilitating nutrient exchange and promoting plant health. Understanding their interactions can benefit from advanced imaging techniques capable of visualising nutrient exchange and structural colonisation at subcellular resolutions across large sample sizes. This review explores novel imaging approaches that are revolution...

Network toxicology and multi-omics identify potential interactions between between air pollutants and interferon-related signaling in tuberculosis.

BACKGROUND: Air pollution increases tuberculosis (TB) susceptibility, yet the underlying molecular mechanisms remain elusive. METHODS: We integrated human genes associated with seven air pollutants with TB-associated genes from public databases. Utilizing network toxicology, we engineered a diagnostic pipeline evaluating 175 machine learning models across transcriptomic datasets to identify a core...

Carotid inflammation on FDG-PET is associated with lower cognitive performance in people with treated HIV infection.

OBJECTIVES: Carotid atherosclerosis is an established risk factor for cognitive impairment. FDG-PET detects subtle inflammatory changes in the arteria...

Exploring potential key genes and mitotic catastrophe-associated correlates in sepsis-induced acute respiratory distress syndrome using transcriptomics and experimental validation.

BACKGROUND: Sepsis-induced acute respiratory distress syndrome (ARDS) is a life-threatening form of acute diffuse lung injury caused by sepsis. Howeve...

Screening for tuberculosis in prisons: efficacy of a breath-based diagnostic approach in a high prevalence setting.

BACKGROUND: Tuberculosis (TB) remains a major health threat in prisons, where overcrowding and limited access to care facilitate transmission. We eval...

Machine Learning-Based Drug Susceptibility Prediction from Candida Genomic Data.

Invasive Candida infection is an increasing clinical concern, with antifungal resistance rising across multiple species. However, rapid and accurate a...

New approach methodologies (NAMs) for preclinical and translational evaluation of mRNA-lipid nanoparticle (LNP) therapeutics.

Messenger RNA-lipid nanoparticle (mRNA-LNP) therapeutics have emerged as a versatile drug modality, enabling in vivo protein expression for vaccines, ...

Automated identification of clinically important Candida yeast species for microscopic images using self-supervised learning.

Opportunistic fungal infections are an escalating global challenge, impacting over a billion people worldwide, particularly immunocompromised individu...

Research progress on debridement, antibiotics, and implant retention (DAIR) for the treatment of periprosthetic joint infection after artificial joint replacement.

Periprosthetic joint infection (PJI) is one of the most serious complications following artificial joint replacement, posing significant treatment cha...

Hepatitis B virus spreading via Beddington-DeAngelis incidence function and feed-forward neural network with optimal control.

Using an appropriate mathematical model, this study aims to examine the transmission dynamics and optimal control of hepatitis B virus spreading, empl...

Rapid species authentication and protein prediction of porcini mushrooms using FTIR-2DCOS coupled with deep learning.

Edible fungi are highly valued worldwide for their unique culinary and therapeutic properties. Nevertheless, the pronounced morphological similarities...

Leveraging multimodal cancer immunotherapy to amplify the efficacy of oncolytic viruses.

Oncolytic viruses (OVs) represent a versatile platform for cancer immunotherapy, capable of selectively infecting and lysing tumor cells while trigger...

Informed Consent Disclosures and Minimum Requirements in AI Clinical Trials: Cross-Sectional Analysis.

BACKGROUND: The integration of artificial intelligence (AI) into clinical research challenges traditional informed consent (IC) frameworks due to the ...

Artificial Intelligence in Dental Practice: Current Trends and Future Perspectives.

The significance of artificial intelligence (AI) in several facets of dental care is highlighted in this paper. These days, AI is becoming more widely...

Diagnostic challenges in re-emerging rickettsioses: why current tools fall short.

SUMMARYRickettsial diseases, encompassing scrub typhus, spotted fever group rickettsioses, and typhus group rickettsioses, represent a significant and...

Strain-Level Food Surveillance of Escherichia coli Using a Specific-Nonspecific Hybrid Sensor Array Strategy.

Array-based sensing platforms have advanced rapidly in recent years, offering strong potential for high-throughout and multiplexed detection. However,...

From manual scoring to machine learning: recent developments in image-based arbuscular mycorrhizal fungi root quantification.

Selecting an appropriate method to quantify arbuscular mycorrhizal fungi (AMF) colonization in plants can be challenging, particularly for non-experts...

Antimicrobial Peptides and Biofilms: From Molecular Interactions to Therapeutic Control.

The rising problem of antimicrobial resistance (AMR), further complicated by the resilience of bacterial biofilms, calls for the discovery of new ther...

The Role of Intracellular ROS in the Development of Antimicrobial Resistance:A Convergent Mediator Linking Mutations and Horizontal Gene Transfer.

The development of antimicrobial resistance (AMR) is a major threat to global public health and environmental security. While antibiotics are known dr...

Transformative Role of Advanced Neural Computation in Clinical Image Diagnostics: A Review of Key Concepts and Applications.

Medical imaging plays a crucial role in modern diagnostic practices, but traditional techniques often face limitations in accuracy, efficiency, and sc...