Iván Horacio Piña Torres.

He has a degree in Chemistry, a Master's degree and a PhD in Science with a specialization in Biology, focused on Genetic Engineering, Molecular Biology and Bioinformatics, awarded by the University of Guanajuato.

Throughout his career, he has presented his research projects in important national and international conferences, all of them focused on the interactions between entomopathogenic fungi and plants, and has published in renowned journals such as MDPI's Journal of Fungal and Insects.

Additionally, Dr. Piña has completed multiple specialized courses in Bioinformatics, covering topics such as eukaryotic genome assembly and annotation, RNA, Single cell RNA-Seq, genomic mining, metagenomics and correlation networks.

Currently, he is a leading researcher at the Translational Institute of Genomic Singularity (ITRASIG), where he is involved in several projects, including the development of PABLO AI, an artificial intelligence tool for epidemiological monitoring and pandemic prediction, as well as the development of qPCR diagnostics for different pathogens.

PUBLICATIONS

PABLO; nueva herramienta de IA para la vigilancia y monitoreo epidemiológico, detección de posibles brotes pandémicos y generación de diagnósticos moleculares de qPCR.

Abstract

Introduction: In recent years, epidemiological monitoring and surveillance have increased, primarily with the onset of the COVID-19 pandemic. From here, efforts to prevent and predict the next pandemic have escalated. The use of molecular tools such as early detection and more efficient and accurate testing like qPCR (Quantitative real-time Polymerase Chain Reaction) has increased. Additionally, the implementation of artificial intelligence (AI) and predictive models has aided in monitoring and surveillance in recent years.

Materials and Methods: The Random Forest model was implemented for news searching using AI. A script for designing molecular diagnostics by qPCR was generated, where the best forward, reverse, and probe oligonucleotides are selected. Results: A new AI tool called PABLO was developed as a mobile application with a simple and user-friendly interface for epidemiological surveillance and monitoring, which automatically generates the design for a qPCR molecular diagnosis. Keywords: Epidemiological monitoring and surveillance, Artificial Intelligence, qPCR, Molecular diagnosis.

Results: A new AI tool called PABLO was developed as a mobile application with a simple and user-friendly interface for epidemiological surveillance and monitoring, which automatically generates the design for a qPCR molecular diagnosis.

Keywords: Epidemiological monitoring and surveillance, Artificial Intelligence, qPCR, Molecular diagnosis.

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