https://rmib.mx/index.php/rmib/issue/feed 2026-06-16T19:42:12+00:00 Dr. Paul Zavala Rivera rib.somib@gmail.com Open Journal Systems <center> <p><strong>MISSION</strong></p> <p align="left"><em>La Revista Mexicana de Ingeniería Biomédica</em> (The Mexican Journal of Biomedical Engineering, RMIB, for its Spanish acronym) is a publication oriented to the dissemination of papers of the Mexican and international scientific community whose lines of research are aligned to the improvement of the quality of life through engineering techniques.</p> <p align="left">The papers that are considered for being published in the RMIB must be original, unpublished, and first rate, and they can cover the areas of Medical Instrumentation, Biomedical Signals, Medical Information Technology, Biomaterials, Clinical Engineering, Physiological Models, and Medical Imaging as well as lines of research related to various branches of engineering applied to the health sciences.</p> <p align="left">The RMIB is an electronic publication continuously released since 2020, structured into three volumes (January, May, September) by the Mexican Society of Biomedical Engineering, founded since 1979. It publishes articles in spanish and english and is aimed at academics, researchers and professionals interested in the subspecialties of Biomedical Engineering.</p> <p><strong>INDEXES</strong></p> <p><em>La Revista Mexicana de Ingeniería Biomédica</em> is a quarterly publication, and it is found in the following indexes:</p> <p><img src="https://www.rmib.mx/public/site/images/administrador/índices_y_repositorios_(1100_×_1000 px).jpg" /></p> </center> https://rmib.mx/index.php/rmib/article/view/1559 2025-12-05T17:36:42+00:00 Rocío Contreras-Jiménez rocio.cj@morelia.tecnm.mx Juan Carlos Olivares Rojas juan.or@morelia.tecnm.mx Adriana del Carmen Téllez Anguiano adriana.ta@morelia.tecnm.mx Jesús Eduardo Alcaraz Chávez eduardo.ac@morelia.tecnm.mx Enrique Reyes Archundia enrique.ra@morelia.tecnm.mx José Antonio Gutiérrez Gnecchi jose.gg3@morelia.tecnm.mx

<p>Type 1 Diabetes Mellitus (T1DM) is an autoimmune, unpreventable, and incurable disease in which insulin production ceases due to pancreatic beta-cell destruction. This work presents Techani, a web and mobile system designed to enhance treatment adherence and patient monitoring through a culturally adapted interface tailored to the Mexican context. The system integrates Artificial Intelligence tools and incorporates a broader range of variables than current applications, including mood, hydration, sleep, and atypical days, in addition to traditional clinical data. A mixed-methodology approach combining Scrum, UI/UX design, and empirical data collection through physician surveys was used to identify relevant determinants of glycemic control. The proposed system aims to strengthen patient autonomy, facilitate physician follow-up, and improve adherence by automating carbohydrate counting using the Mexican Food Equivalents System (SMAE). Compared to existing mHealth tools, Techani increases the number of monitored variables by more than 40% and enables potential data integration for predictive glucose modeling. Limitations include manual data entry and a small convenience sample for usability testing. Future validation studies will evaluate its clinical impact on glycemic control and treatment adherence, and integration with CGM data to assess its clinical impact on glycemic control.</p>

2026-06-23T00:00:00+00:00 Copyright (c) 2026 Revista Mexicana de Ingenieria Biomedica https://rmib.mx/index.php/rmib/article/view/1618 2025-12-05T19:29:53+00:00 Jorge Carlos Ríos-Hurtado jorgerios@uadec.edu.mx Frida Sofia Ibarra-Cazares frida_ibarra@uadec.edu.mx Sergio Emmanuel González Pérez sergiogonzalezperez@uadec.edu.mx Sandra Cecilia Esparza-González sandraesparzagonzal@uadec.edu.mx Gustavo Soria-Arguello gustavo.soria@ciqa.edu.mx

<p style="font-weight: 400;">Additive manufacturing has established itself as a key technology in dentistry, enabling the manufacture of customized devices with precision and in reduced times. Among the most widely used filaments are polylactic acid (PLA) and glycol-modified polyethylene terephthalate (PETG), both with different properties that influence clinical performance. This study presents a comparative evaluation of PLA and PETG filaments in the generation of hydroxyapatite on 3D-printed pieces through hydrothermal treatment in simulated body fluid (SBF) solution. Dental models were printed with PLA and PETG filaments under controlled conditions and immersed in SBF for 7, 14, and 21 days. Modified pieces were characterized by infrared spectroscopy (IR-TF), X-ray diffraction (XRD), and scanning electron microscopy (SEM) to evaluate surface modifications and mineral formation. The results showed that PLA, due to its greater porosity and roughness, favored early hydroxyapatite nucleation, presenting a stable layer at 21 days. PETG showed slow nucleation, but at 21 days it showed characteristic hydroxyapatite agglomerates. Cytotoxicity tests with 3T3 fibroblasts confirmed that both materials maintained cell viability above 70%.</p>

2026-06-16T00:00:00+00:00 Copyright (c) 2026 Revista Mexicana de Ingenieria Biomedica