The development and consumption of genetically modified (GM) crops are surrounded by controversy. According to proponents, only molecular biology approaches and genetic engineering tools are realistic food shortage solutions for the world’s ever-growing population. The main purpose of this study is to review the impact of GM products on human, animal, and environmental health. People still reject GM crops not only because of safety concerns, but also for moral reasons. Toxicity, allergies, and possible horizontal gene transfer (HGT) to the environment or to other species have been associated with the marketing of GM products. Moreover, the scarce data available about the long-term implications of using GM crops is another opponent concern. Nevertheless, science has evidenced no harm from GM crops use to date but has, instead, reported several benefits that result from their commercialization, such as economic, environmental, and health benefits for the general public. Legislation and policies about GM product labeling standards are being discussed. To overcome emerging food security challenges, considering quality scientific information is essential rather than leaving the issue and merely moving toward moral discussion. Hence, a risk–benefit analysis is necessary.

Microbial spoilage and foodborne pathogens remain central challenges in food safety, driven by the metabolic resilience and ecological adaptability of bacteria, yeasts, and molds across diverse food matrices. Active antimicrobial packaging has emerged as a biologically informed strategy that directly targets microbial physiology through controlled release or contact-mediated mechanisms. These systems employ natural antimicrobials, bacteriocins, essential oils, and metal nanoparticles to disrupt cell membranes, inhibit enzymatic pathways, generate reactive oxygen species, or interfere with quorum sensing, resulting in substantial reductions in microorganisms such as Listeria monocytogenes, Salmonella spp., E. coli O157:H7, Pseudomonas spp., Brochothrix thermosphacta, and spoilage fungi. In real food environments, these interventions achieve multi-log reductions and attenuate microbial metabolism, though efficacy varies with pH, water activity, fat content, and storage temperature. Oxygen scavengers further reshape microbial ecology by suppressing aerobic spoilage organisms while inadvertently favoring anaerobic competitors. Despite promising outcomes, concerns regarding nanoparticle migration, microbial resistance potential, and matrix-dependent performance highlight the need for deeper microbiological validation. Future progress will require integrative research linking microbial ecology, packaging material science, and mechanistic toxicology. By aligning with microbial behavior at the cellular and ecosystem levels, active antimicrobial packaging represents a powerful, biologically grounded approach to mitigating foodborne risks.

Background: The number of deaths attributable to COVID-19 in Spain has been highly controversial since it is problematic to tell apart deaths having COVID as the main cause from those provoked by the aggravation by the viral infection of other underlying health problems. In addition, overburdening of health system led to an increase in mortality due to the scarcity of adequate medical care, at the same time confinement measures could have contributed to the decrease in mortality from certain causes. Our aim is to compare the number of deaths observed in 2020 with the projection for the same period obtained from a sequence of previous years. Thus, this computed mortality excess could be considered as the real impact of the COVID-19 on the mortality rates. Methods: The population was split into four age groups, namely: (< 50; 50–64; 65–74; 75 and over). For each one, a projection of the death numbers for the year 2020, based on the interval 2008–2020, was estimated using a Bayesian spatio-temporal model. In each one, spatial, sex, and year effects were included. In addition, a specific effect of the year 2020 was added ("outbreak"). Finally, the excess deaths in year 2020 were estimated as the count of observed deaths minus those projected. Results: The projected death number for 2020 was 426,970 people, the actual count being 499,104; thus, the total excess of deaths was 72,134. However, this increase was very unequally distributed over the Spanish regions. Conclusion: Bayesian spatio-temporal models have proved to be a useful tool for estimating the impact of COVID-19 on mortality in Spain in 2020, making it possible to assess how the disease has affected different age groups accounting for effects of sex, spatial variation between regions and time trend over the last few years.

Artificial intelligence (AI), including machine learning (ML) and deep learning (DL), is rapidly transforming clinical veterinary practice by enhancing diagnostics, disease surveillance and decision support processes across animal health domains. The safe and effective clinical deployment of these technologies, however, depends critically on the preparedness of the veterinary workforce, positioning veterinary education as a strategic enabler of translational adoption. This narrative review examines the integration of AI within veterinary education as a foundational step toward its responsible application in clinical practice. We synthesize current evidence on AI-driven tools relevant to veterinary curricula, including generative and multimodal large language models, intelligent tutoring systems, virtual and augmented reality platforms and AI-based decision support tools applied to imaging, epidemiology, parasitology, food safety and animal health. Particular attention is given to how the structured educational use of AI mirrors real-world clinical workflows and supports the development of competencies essential for clinical translation, such as data interpretation, uncertainty management, ethical reasoning and professional accountability. The review further addresses ethical, regulatory and cognitive considerations associated with AI adoption, including algorithmic bias, data privacy, equity of access and the risks of overreliance, emphasizing their direct implications for diagnostic reliability and animal welfare. By framing veterinary education as a controlled and reflective environment for AI engagement, this article highlights how pedagogically grounded training can facilitate safer clinical deployment, foster interdisciplinary collaboration and align technological innovation with professional standards in veterinary medicine.

Street food markets are important for local economic development, but they must also meet visitors’ demands while operating. Since consumers’ trust is based on their perception on different aspects of these markets, the aim of this work was to study which factors most affected their purchase decision criteria. A total of 950 surveys were collected in 21 street markets (Canary Islands, Spain), recording data from the consumers’ estimation on food safety-related items (i.e., hygiene conditions of market installations, products, and food handlers) as well as other categories (i.e., prices and staff professionalism). The gathered data let us determine whether sociodemographic consumers variables like age, gender, or education level influenced their perceptions. The scores showed a strong correlation, the subsequent principal components analysis explained 81% of variability only with the first two components. The level of tolerance toward all items underlies in the first component, which was significantly higher for those aged 60 and older, but no significant correlation was found for gender or level of education. The youngest participants were more demanding about food safety-related aspects, while the middle-aged group was more critical of prices. This was especially true of females, who demanded better quality:price ratios. Knowing these preferences could facilitate the development of more effective marketing strategies, helping make street markets more competitive.

The restriction or ban of antibiotics as feed additives in poultry production in many countries, including those in the European Union, has prompted the need for safe and effective natural alternatives. This study evaluated the potential of Nigella sativa L. (black cumin) seed extract as a feed additive in broiler chickens, focusing on its effects on performance, carcass traits, blood biochemistry, digestive microbiota, and immune response. A total of 200 one-day-old Ross 308 male chicks were randomly divided into five treatment groups: a control group receiving Virginiamycin (0.2 g/L) and four groups supplemented with 0, 150, 300, or 450 mg/l of N. sativa extract in drinking water from day 1 to 42. Birds receiving 150 mg/l of N. sativa showed significantly higher weight gain, final live weight, carcass yield, and breast and drumstick mass (p < 0.05) compared to other treatments. This group also exhibited lower total cholesterol and LDL levels at day 42, alongside reduced coliform counts and increased Lactobacilli, indicating beneficial effects on gut microbiota. Although feed intake remained unaffected, N. sativa influenced immune parameters: IgG levels decreased at 300 mg/l, while IgM levels increased at 450 mg/l. These results suggest that supplementing broiler diets with 150 mg/l of N. sativa extract may serve as an effective alternative to antibiotics, promoting growth performance, improving metabolic health, and supporting intestinal microbial balance. Further studies are warranted to confirm its efficacy, assess long-term safety, and clarify the mechanisms involved in its growth-promoting and cholesterol-lowering effects.