Wednesday, October 26th, 2022. Time: 15h | UPC Campus Nord (C1 building, 116 conference room)
ABSTRACT
The National Survey on Drug, Alcohol and Tobacco, 2016/2017, notes that 15.6 million Mexicans are active smokers and, by 2030, expect the death of 8 million cancers of the larynx or lung. Therefore, the World Health Organization (WHO) recommends detecting precancerous lesions of the larynx. This is possible, as they are characterized by a biomarker pattern manifested by the alteration of the biomechanical interpretation of the vocal cords, regardless of the sex and age of the smoker. Three machine learning methods: neural networks, Gaussian networks, and decision tree will be evaluated to determine the method that best solves the problem of detecting patterns of precancerous vocal cord injury biomarkers.
The coffee talk will be given in Spanish.
SPEAKER CV
Xóchitl Siordia-Vásquez is an electronics and communications engineer, with a master's degree in engineering sciences in microelectronics, and a Ph.D. from the CIATEQ Center for Advanced Technology with the thesis (read in 2019)Biomarker Modeling for the detection of pathological patterns of vocal timbre in Mexican smokers. Her field of knowledge focuses on complex systems, with a special dedication to the reasoned introduction of biomimetic patterns in the entire context of his research at the Universidad Veracruzana. She having especially dedicated efforts to the field of health.
Biomimetic or biomimicry is the imitation of models, systems or elements of nature applied to our technology. In other words, it consists of drawing inspiration from said nature to develop technological solutions.