Detection and Characterisation of Colistin-Resistant in Broiler Meats.

The irrational use of antimicrobials has led to the emergence of resistance, impacting not only pathogenic bacteria but also commensal bacteria. Resistance against colistin, a last-resort antibiotic, mediated by globally disseminated plasmid-borne mobile colistin resistance () genes, has raised significant global concerns. This cross-sectional study aimed to investigate the antimicrobial resistance patterns of colistin-resistant () and mobilised colistin resistance ( 1-5) genes from broiler meat.

Assembly and performance of a cholera RDT prototype that detects both and associated bacteriophage as a proxy for pathogen detection.

Cholera rapid diagnostic tests (RDTs) are vulnerable to virulent bacteriophage predation. We hypothesized that an enhanced cholera RDT that detects the common virulent bacteriophage ICP1 might serve as a proxy for pathogen detection. We previously developed a monoclonal antibody (mAb) to the ICP1 major capsid protein.

Web-Based Passive Surveillance: Multifactorial Assessment of Sonali Chicken Diseases and Antimicrobial Prescription Pattern in Bangladesh.

Despite the significant growth in Sonali chicken production across Bangladesh, inadequate disease surveillance and control measures along with indiscriminate antimicrobial use remain major challenges to the sector. In this study, we evaluated the disease burden and antimicrobial prescription patterns of Sonali chickens in Bangladesh using a web-based data recording system from 2020 to 2021 and analyzed 1690 cases. The diagnoses recorded in the system were presumptive, as they were based on clinico-epidemiological history, clinical signs, and gross necropsy findings noted by registered veterinarians.

An In Silico Approach to Discover Efficient Natural Inhibitors to Tie Up Epstein-Barr Virus Infection.

Epstein-Barr virus (EBV), also known as human herpesvirus 4, is a member of the herpes virus family. EBV is a widespread virus and causes infectious mononucleosis, which manifests with symptoms such as fever, fatigue, lymphadenopathy, splenomegaly, and hepatomegaly. Additionally, EBV is associated with different lymphocyte-associated non-malignant, premalignant, and malignant diseases.

On the interpretability of the SVM model for predicting infant mortality in Bangladesh.

Background: Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. Interpretable ML is, therefore, an emerging research field that combines the performance and interpretability of ML models to create comprehensive solutions for complex decision-making analysis. Conversely, infant mortality is a global public health concern affecting health, social well-being, socio-economic development, and healthcare services.