- EMED Group emerged in 2022 with the aim of bringing together fields like engineering with the medical field.
- It is estimated that 45% of scientific researchers in Latin America are women.
- From work on sarcopenia to a focus on cancer detection, there are other national projects that link health and technology.
It is sometimes thought that the greatest innovations in the world are created only in first world countries, but this is not necessarily the case. In the case of Mexico also there are state-of-the-art projects They combine health with technology to offer solutions to the problems of daily life. Some of the most interesting are the CETYS led by the EMED (Electronic Medicine) group of the Universidad Campus Mexicali.
Composed of students and professors from various engineering fields, EMED in just one semester of existence has managed to come together and define its From work area to medical-diagnostic, psychological, social and physical areas. In this way, it affects each of these areas with the development of projects and prototypes that contribute to improving the quality of life of patients.
“Upon my arrival at CETYS in the second half of 2022 and based on previous experiences working with multidisciplinary groups, I found it interesting that this line of research applied to health could be opened at this institute. Also, the trend of integrating information technology with medicine is incremental, which was the reason why I gave myself the task of creating this group”, shared Dr. Cristian Castillo Olia, who is a teacher in this group.
For students, being a member of EMED represents an opportunity to be involved in its design, development and operation Technological tools useful for diagnosing and/or monitoring the treatment of various pathologies. In this way, it is directly linked to real practice and raises awareness of the importance of using technology from an engineering perspective to collaborate with healthcare professionals.
There is an opportunity for academics to venture into new lines of research applying humanistic philosophy, in addition to being involved in a group based on the generation of science and knowledge CETYS University.
Mexican projects that combine health and technology
Currently hosted by Future Engineers in Mechanics, Cybernetics and Computer Science with Professors Dr. Carlos Solorio, who is also the Director of the School of Engineering at the CETYS University Campus Mexicali, along with Dr. Verónica Rojas, Dr. Jesus Mora and Dr. Jesus Mora Projects have been developed. Dr. Juliana Martinez:
Technological solutions to support child rehabilitation through the use of sensors and application development
It comprises an integrated system made up of hardware and software elements for the rehabilitation of patients with motor disabilities, which aims to innovate the way rehabilitation is provided both in institutions and at home. Dr Alheli Bremer, an academic at the Autonomous University of Baja California (UABC), and students Jesús Zambrano, Christian Aguiniga Quintero, Alfredo Hesgba Esparza and Andrea García Alvarado collaborate on this project.
detection of pollutants in the air
It aims to develop a technological platform to provide the user with information on air quality, generating alarms aimed at the most sensitive populations with information based on indicating the concentration of atmospheric pollutants found in the air. Can do This type of contamination, and thus alert them about when the situation is harmful to their health. Students Jose Acosta, Fernando Chon, Angel Valenzuela, Daniel Silva, Edson de Leon and Francisco Macias participated.
The purpose of this project is to identify the prevalent variables to determine the level of sarcopenia of patients, using artificial intelligence to provide doctors with an automated classification of the level of sarcopenia in older adults, in addition to each of the variables used Study to identify the weight of. Study. The project is in collaboration with Dr. Clemente Zúñiga, Tijuana General Hospital, and students David Figueroa and Juan Carlos Gil.
The aim of this research is to develop a system using deep learning techniques that allows doctors, carers and patients to track the development of treatment for patients living with ulcers, using various indicators and quantitative characteristics such as wound cavity By quantity, area and using. diameter, the type of bacteria causing the infection, and the type of tissue present in the wound. Students Mariana Cárdenas, Edson de León and Fernando Guerrero collaborate in this.
breast cancer project
Using deep learning tools to predict the patient’s condition when the previous diagnosis is made, it aims to provide a possibility to make re-adjustment measures in the treatment of cancer patients using mammography images which is a way to optimize the response time. Allows options. This project has been developed in collaboration with Dr. Eric Ortiz of the National Institute of Oncology (INCAN).
The pandemic caused by SARS-CoV-2 is a serious disease of global concern. Most people who become ill with COVID-19 experience symptoms that can be classified as mild, moderate, or severe. To help make quick decisions about treatment and isolation needs, it is useful to determine which key variables indicate cases of infection in the population treated at the Tijuana General Hospital. To do this, in a joint investigation with Dr. Clemente Zúñiga, a mathematical model with artificial intelligence (machine learning) is being developed capable of identifying important variables in the early stages of COVID-19 patients.