Conference Agenda

Cardiac auscultation is a fundamental procedure in clinical practice for the early detection of cardiovascular diseases. However, in primary care services, it faces limitations due to environmental noise and variability in the interpretation of heart sounds. Given this problem, this research seeks to propose the design of a prototype electronic cardiac auscultation device with digital recording and analysis capabilities using MATLAB, to identify cardiac abnormalities that support diagnosis in primary care settings. A two-phase methodology was applied. In the study phase, the electronic stethoscope prototype was built, and the digital processing system was developed based on a recurrent neural network implemented in MATLAB for the classification of heart sounds. In the validation phase, the device was evaluated under simulated conditions with available recordings and by comparison with the diagnosis made by medical personnel through traditional auscultation. The results obtained show that an electronic device is capable of reliably capturing heart sounds and performing basic classification of normal and abnormal recordings in the identification of murmurs. The study showed that a low-cost prototype can be technically viable to complement traditional auscultation and that, with technical improvements and broader clinical validation, these types of devices have the potential to become a diagnostic support tool in primary care.

The research analyzed the association between ergonomic risk and work performance in a census sample of 44 administrative and technical employees from a consulting firm in Lima, Peru. A quantitative, correlational, and non-experimental design was applied, using a Likert-scale questionnaire validated by experts (Aiken’s V = 0.87) with high reliability (Cronbach’s α = 0.95). Results showed that both ergonomic risk (M = 101.75) and work performance (M = 68.57) were at a “regular” level. Pearson’s correlation analysis revealed a positive and moderate relationship (r = 0.443; p = 0.002), with significant associations in the dimensions of work organization and mental workload, static postures, musculoskeletal symptoms, and physical environment. These findings suggest that higher performance is associated with greater exposure to ergonomic risks, contrasting with international studies that report reduced productivity under such risks. It is recommended to implement comprehensive ergonomic management models that balance productivity with occupational health.

Breast cancer is the most commonly diagnosed cancer in women worldwide, with more than 2.3 million new cases in 2022. Among the environmental factors potentially involved, aluminum (Al³⁺) stands out; this metal is present in various cosmetic products and acts as a metalloestrogen by binding to estrogen receptors (ER) and modulating estrogen-dependent expression. In particular, its widespread use as an active ingredient in antiperspirant formulations results in direct and continuous skin exposure in the underarm region, particularly close to the breast tissue. Given the well-established association between estrogen exposure and the development of breast cancer, aluminum could promote abnormal cell proliferation and increase oncogenic risk. However, information on its direct effects on tumor processes remains limited.
Therefore, in this study, the effect of AlCl₃ on proliferation and migration in MCF-7 breast cancer cells was evaluated using viability (MTT), clonogenic, and cell wound healing assays. The results showed that AlCl₃ had an IC₅₀ of 12 mM in the MTT assay. At this concentration, colony formation in the clonogenic assay increased significantly (p < 0.05), indicating a long-term proliferative effect. However, it did not stimulate cell migration capacity in the wound healing assay. These results suggest that aluminum has a specific proliferative effect on MCF-7 cells without altering their migratory capacity under these experimental conditions, providing relevant evidence for evaluating its involvement in the early stages of breast cancer progression and for its regulation in everyday products, such as women's antiperspirants.

The objective of this work is to design and assess a replicable syndromic monitoring system for respiratory infections utilizing artificial intelligence approaches, suitable for primary healthcare environments with constrained resources. An ETL pipeline was established for processing data from 2,777 outpatient records at the Villa Nueva Health Center (April-December 2024). A syndromic classifier based on TF-IDF was created using logistic regression, accompanied by an anomaly detection system that integrates moving average thresholds, CUSUM, and EWMA algorithms. The system's performance was assessed utilizing operational metrics. The syndromic classifier attained an F1-score of 0.999 and an AUC-ROC of 1.00. During the analysis of 39 epidemiological weeks, the system produced 9 alerts (5 red, 4 yellow), resulting in an alert rate of 23.1%, a proxy sensitivity of 60%, and an operational precision of 100%. The alert delay was seven days. Two notable outbreak clusters were identified: weeks 3 to 5 and weeks 28 to 32. Conclusions: The established system illustrates that automated syndromic monitoring is viable in resource-constrained primary care environments, offering a reproducible pipeline, detector, and dashboard solution for early warning of respiratory outbreaks.

Tumor angiogenesis and its inhibition are key processes in cancer progression and treatment response.
Understanding the relationship between vascular changes and chemotherapy-induced hematological complications is essential to evaluate therapeutic safety. This paper presents the development of a computational simulator that integrates simplified mathematical models to represent inverse angiogenesis in vascular tumors and to estimate the risk of febrile neutropenia associated with the combined use of bevacizumab and paclitaxel. The system combines a Python-based computational module, built upon differential equations, with an interactive Unity interface that allows adjusting clinical
and treatment parameters and visualizing the temporal evolution of tumor volume, VEGF concentration, and vascular branching. The results obtained show trends consistent with those reported in the literature, reflecting a reduction in VEGF and tumor growth

Childhood vaccination is of utmost importance to prevent diseases, although in Latin America, the decline in childhood vaccination has advanced rapidly. Circumstances such as socioeconomic inequality and poor health systems have exacerbated this situation and have been compounded by the COVID-19 pandemic. The literature review reveals a worrisome picture of millions of children not receiving their essential vaccines, increasing outbreaks of preventable diseases. These findings highlight the urgency of raising public awareness and adopting innovative technologies. Addressing these challenges is therefore fundamental for the sustainable development of the region.