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Professional training as a pillar of preventive culture in the management of chemical substances: A study in the agrochemical sector
No full textThe study aimed to analyze training as an action strategy for risk prevention in the handling and use of agrochemicals. A quantitative, non-experimental, descriptive case study was conducted. The sample was census-based and comprised 15 workers. A survey was used as the data collection technique and a questionnaire as the instrument. Data analysis was conducted using descriptive statistics. Results: 40% of workers stated that they rarely receive training on health risks in their workplace. Furthermore, 60% of the surveyed workers are unaware of the health risks caused by handling agrochemicals. Sixty percent of the sample considered that their company did not have a training plan for workers and, in turn, stated that they had received little or no training on health and safety risks. Conclusions: Workers recognize the health risks resulting from exposure to chemical agents they encounter in their workplace; however, they ignore compliance with workplace safety standards and procedures, such as failing to use personal protective equipment. They report that the company does not provide ongoing training to its workers, violating current national legislation
Biointerfaces in sensors and medical devices: challenges, materials, and solutions for biological integration
No full textBiointerfaces are strategic components in the design of medical sensors and devices, enabling functional interaction between electronic systems and biological tissues. This article examines their properties, materials, and clinical applications, with a focus on biocompatibility, cellular adhesion, electrical conductivity, and structural stability. Current approaches based on conductive hydrogels, nanocomposites with metal oxides, and intelligent coatings are reviewed, as well as their implications in implantable, wearable, microfluidic, and neural interface technologies. The study also addresses critical challenges such as miniaturization, immune response, and the integration of dynamic, stimulus-activated functions. It concludes that biointerfaces represent a key pathway toward the development of more precise, adaptive, and sustainable medical technologies, whose advancement will depend on interdisciplinary convergence among biomedical engineering, materials science, and emerging clinical needs.
Integration of telemedicine and artificial intelligence in the use of 3D printing in facial reconstruction
No full textFacial reconstruction addresses congenital malformations and trauma through functional and aesthetic repair, but faces limitations due to the dependence on surgical skills. The integration of telemedicine, artificial intelligence (AI) and 3D printing have emerged as a solution to improve the accuracy and accessibility of treatments; the objective was to demonstrate the benefits of telemedicine and artificial intelligence in the use of 3D printing in facial reconstructions. A literary review was carried out using the PRISMA method, analyzing 20 studies from Scielo, Elsevier, PubMed, REDALYC and ERIC and taking into account the inclusion criteria: 1) Research period between 2020 and 2024 2) Textual studies 3) Review articles 4) Spanish, English and Portuguese language 5) Free open access articles, demonstrating that these technologies increase the quality of treatment in functional and aesthetic results. The findings were a decrease in hospital admissions (12.5%) and medical costs (5.3%), accuracy in facial reconstructions (90% sensitivity) and economic benefits with 26% returns on technological investment (4-6). It is concluded that there is an improvement in functional and aesthetic results in facial reconstruction and that it also transforms the accessibility and efficiency of the health system. However, the adoption of these technologies faces challenges such as limited access to resources and the need for more precise algorithms
UV-Vis spectrophotometry for the determination of iron and silicon in calcined alumina: evaluation of calibration curves
No full textIn laboratories with strict quality requirements, the calibration of equipment is crucial for the reliability of analytical results, especially in the determination of iron and silicon in alumina. This study validated analytical methods by constructing calibration curves for iron (Fe) and silicon (Si) using certified reference materials. The content of iron(III) oxide (Fe2O3) and silicon dioxide (SiO2) in calcined alumina (NIST 699 standard) was evaluated by UV-Vis spectrophotometry. The statistical viability of the calibration models was confirmed with a Student\u27s t-test. The calibration curves for Fe2O3 and SiO2 showed a strong linear relationship (R2 = 0.99891 and R2 = 0.9995, respectively). The analysis of the reference standard yielded concentrations of 0.0129 ± 0.0004% for Fe2O3 and 0.0124 ± 0.0005% for SiO2, demonstrating the accuracy of the method. Statistical analysis confirmed the consistency of the results with the expected theoretical values. In conclusion, the calibration curves showed robustness, the precision was evidenced by the low standard deviation in the replicates, and UV-Vis spectrophotometry proved to be highly reliable and accurate for the quantitative determination of iron and silicon in calcined alumina certified reference material
Multiscale Modeling in Systems Biology
No full textMultiscale modeling in systems biology is a methodological approach designed to represent, integrate, and simulate complex biological phenomena occurring across various organizational levels, from the molecular to the tissue scale. In contrast to reductionist perspectives, this holistic framework acknowledges that biological processes emerge from dynamic interactions among components operating simultaneously in multiple spatial and temporal scales. Its development has been facilitated by the growing availability of omics data and the evolution of advanced computational tools, enabling the creation of realistic and predictive simulations.This article reviews theoretical foundations and current applications of multiscale modeling in key fields such as personalized medicine, computational pharmacology, tissue engineering, and clinical simulation. It covers integration strategies such as hierarchical and concurrent coupling, and highlights the use of specialized platforms like GROMACS, NAMD, SimBiology, and PhysiCell. The advantages of this modeling approach include the design of individualized treatments, virtual testing of biomaterials, and the optimization of clinical trials through simulated cohorts.Multiscale models allow not only a more accurate representation of biological systems but also enable the anticipation of pathophysiological dynamics, reduce drug development timelines, and enhance clinical decision-making. Their future effectiveness will depend on data interoperability, algorithmic refinement, and integration with artificial intelligence. Ultimately, multiscale modeling is a foundational tool for advancing toward a more predictive, contextual, and adaptive biology suited to the evolving challenges of contemporary medicine
Regenerative medicine and tissue engineering from an innovative approach
No full textIntroduction: Regenerative medicine, as an area of scientific work and development within the medical sciences, opens new doors in the management and treatment of various pathologies (chronic or not).Objective: To assess the implementation of regenerative medicine and tissue engineering based on an innovative approach.Method: A comprehensive review of related bibliographic sources was conducted. The search strategy used the terms regenerative medicine and tissue engineering. The databases used were SCielo and PubMed. A multi-step screening process was used to select the articles.Development: Thirteen primary research projects were selected. Different areas within regenerative medicine and tissue engineering were addressed. The application of biocomponents such as hydrogels and blood products is gaining ground due to their limited antigenic effects. Furthermore, stem cells remain a promising alternative, with a growing trend toward preventive actions for chronic conditions. For their part, the development of research and clinical studies is key to the theoretical and practical contributions of these techniques and the new ones developed.Conclusions: Regenerative medicine and tissue engineering are presented as novel and revolutionary alternatives within medicine. Their applications are broad and at the same time specific to each specialty. Numerous studies and research (in vitro and in vivo) provide theoretical advances that may constitute novel treatments in the future
Use of technological tools and visual problems in medical students at a university in Cajamarca
No full textObjective: Determine the relationship between the use of technological tools and visual problems in medical students at a university in Cajamarca in 2024.Materials and Methods: Basic type study with a quantitative approach, non-experimental, cross-sectional and correlational design. Two questionnaires were applied to a sample of 165 MH students, the first on the use of HT, prepared by Quinto M. in 2018, consists of 6 questions, with a Cronbach\u27s Alpha of 0.88 and the second, “Questionnaire of Visual Disorders (Symptoms of the user of data display screens)”, prepared by Flores and Cárdenas in 2019, which has 14 items and a Cronbach Alpha of 0.734.Results: Significance was identified between the use of HT and visual problems (p = 0.0156). Likewise, cell phone use was significant in relation to burning or itchy eyes (p = 0.0003), and the use of laptop computers with the same symptom (p = 0.003).Conclusion: The factors associated with PV addressed aspects such as age, sex, year of studies, socioeconomic level, but were not significant. However, significance was observed in the use of HT and PV in MH students (p = 0.0156). Thus, excessive use of HT predisposes us to developing PV, so these findings help us reflect and take measures to prevent the development of PV
Artificial intelligence in the early diagnosis of digestive cancer
No full textDigestive cancer is one of the leading causes of mortality worldwide, with an increasing incidence in several regions, including Latin America. Early detection of these pathologies is crucial to improve clinical outcomes and reduce the economic burden associated with the treatment of advanced stage cancers. This review is justified by the need to address the significant challenge of early detection of digestive cancer, especially in asymptomatic patients. The main objective of this study is to learn about the benefits of artificial intelligence (AI) in improving early diagnosis of digestive cancers, evaluating its effectiveness in identifying early lesions and its impact on diagnostic accuracy. Through a systematic review of the literature, and the application of the PRISMA model for its development, we examine various applications of AI as applied to medicine and specifically to the diagnosis of digestive cancers, including computer-aided detection (CADe), and discuss the benefits of its implementation in clinical practice. The findings suggest that AI has the potential to transform digestive cancer diagnosis, although further research is required to overcome current barriers and validate its use in clinical settings
Improving cooling rate in a cold room by using a parametric study coupled with computational fluid dynamics
No full textThe cooling dynamics of fruits depend on the flow conditions around the biological material. Computational fluid dynamics (CFD) coupled with a design of experiments (DOE) was implemented to reveal how a design variable (bin open area) and an operational variable (cold air mass flow at the inlet) affect turbulence and therefore the cooling kinetics. The CFD model was first validated against experimental local velocities inside the bins with an error of 14% to later be used in the parametric study (simulated data was consistent with experimental data). A clear non-homogeneity in turbulence distribution (vertical stratification) was found and therefore different local cooling rates. For this cooling room, the bin located in the top are cooling faster (8.1 hour 7/8th cooling time) that the bin located in the bottom (14.7 hours 7/8th cooling time). A 65% reduction in the mass flow rate shows a 21% increment in 7/8th cooling time and 57% increment in the lateral bin open area with a constant the flow rate, shows 9% increments in the 7/8th cooling time but with a 2 hours (7/8th cooling time) reduction in the difference between the bin in the top and the bin in the bottom which implied better homogeneity.
Biomedical devices and microfluidics: development of lab-on-a-chip systems, biosensors and diagnostic devices with applications in clinical and point-of-care settings
No full textThe convergence of biomedical devices and microfluidics is revolutionizing diagnosis and treatment in the healthcare sector, offering faster, more accurate, and more accessible solutions. Microfluidics, which manipulates fluids at nanometer and micrometer scales, leverages principles such as laminar flow and diffusion to enable the development of miniaturized systems. Labs-on-a-Chip (LOC) are the embodiment of this symbiosis. These devices integrate multiple laboratory functions into a single platform, utilizing manufacturing techniques such as photolithography and 3D printing. Their impact is palpable in the rapid detection of pathogens, the diagnosis of chronic diseases and cancer, drug discovery, and personalized medicine, facilitating point-of-care (POC) testing with minimal sample volumes and reduced costs. The integration of biosensors (optical, electrochemical, nucleic acid-based) into microfluidic platforms enhances biomarker detection with high sensitivity and specificity. This translates into earlier diagnoses and continuous monitoring. Although these advances promise to transform healthcare, significant challenges remain. Production scalability, cost reduction, regulatory harmonization, and the need for biocompatible materials are crucial hurdles. However, future trends are promising, including the incorporation of artificial intelligence for more efficient analysis, the development of wearable and implantable biosensors, and the expansion of organs-on-chip for biomedical research. Microfluidics and biomedical devices are shaping the future of more efficient and personalized medicine