Application of Bioinformatics and Machine Learning Tools in Food Safety.

Purpose Of Review: Food safety is a fundamental challenge in public health and sustainable development, facing threats from microbial, chemical, and physical contamination. Innovative technologies improve our capacity to detect contamination early and prevent disease outbreaks, while also optimizing food production and distribution processes.

Recent Findings: This article discusses the role of new bioinformatics and machine learning technologies in promoting food safety and contamination control, along with various related articles in this field.

Current status of nano-vaccinology in veterinary medicine science.

Vaccination programmes provide a safe, effective and cost-efficient strategy for maintaining population health. In veterinary medicine, vaccination not only reduces disease within animal populations but also serves to enhance public health by targeting zoonoses. Nevertheless, for many pathogens, an effective vaccine remains elusive.