Miguel A. Wister received his Ph.D. in Information Technology and Communications Engineering from the University of Murcia, Spain (2008). He earned an MSc in Informatics Technology at the Monterrey Institute of Technology and Higher Education (ITESM), Mexico, (1997), and a BSc degree in Informatics at the Juarez Autonomous University of Tabasco (UJAT), Mexico, (1993). He has tutored over 40 BSc and MSc students. Dr. Wister has also authored and co-authored about 20 scientific papers published in peer-reviewed conferences and journals. He is the editor and co-author of the book Intelligent Data Sensing and Processing for Health and Well-being Applications (Editorial Academic Press, ELSEVIER). He is also associate editor in two Journals: 1. Internet of Things Engineering Cyber Physical Human Systems; 2. International Journal of Grid and Utility Computing. His research interests are ubiquitous computing, focusing on ambient intelligence and the Internet of Things. viewed conferences and journals. Juana Canul-Reich holds a PhD in Computer Science and Engineering from the University of South Florida with a major in Data mining. She is currently a Professor-Researcher in the Academic Division of Sciences and Information Technologies at UJAT where she has tutored over 7 PhD thesis, 6 Msc thesis, and 15 BSc thesis. PhD Canul-Reich has also authored and co-authored over 30 scientific papers published in peer-reviewed conferences and journals. She is a level-2 member of the National Research System of CONAHCYT. She actively participates as a referee for both national and international scientific journals in the fields of machine learning or computational science. She has also been responsible for research projects funded by PRODEP and CONAHCYT. Her research interests focus mainly on Data Science and Artificial Intelligence applied to the health area. Lil María Rodríguez Henríquez. Her research interests are ubiquitous computing, focusing on distributed systems, Cryptography and Security. Received her Ph.D. degree from the Centro de Investigación y Estudios Avanzados of the IPN, in 2015. She is currently a CONAHCYT Research Fellow with the National Institute of Astrophysics, Optics and Electronics (INAOE). Her recent work involves security on databases, partial order algorithms. She has tutored over 2 PhD thesis, 7 Msc thesis, and 4 BSc thesis at INAOE. PhD Rodríguez has also authored and co-authored about 15 scientific papers published in peer-reviewed conferences and journals.

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• 1. Artificial Intelligence Applied in Emerging Healthcare Technologies2. Towards Detection of Depression and Anxiety in Adolescents through Social Media Texts3. Enhancing Air Quality Analysis with Quantum Computing: Predicting the Risk of Sick Building Syndrome4. Incorporating a Chatbot in a Virtual Rehabilitation System: Methodology and Preliminary Evaluation5. Automatic Speech Analysis for Detecting Cognitive Impairment6. Personalized medicine, digital innovation, and artificial intelligence: An analysis according to the different stakeholders7. Impact of Artificial Intelligence (AI) on Diagnostic Disease Detection8. Association of D-dimer and Fibrinogen with COVID-19 Severity: A Statistical and Clustering Approach9. Application of Artificial Intelligence in the Research of Communicable and Non-Communicable Diseases10. AI-Assisted Identification of Depressive Symptoms with Large Language Models11. Hand information extraction using artificial intelligence for Alzheimer’s disease diagnosis12. Assistive System for Visually Impaired Using YOLO and WebSockets

Miguel A. Wister received his Ph.D. in Information Technology and Communications Engineering from the University of Murcia, Spain (2008). He earned an MSc in Informatics Technology at the Monterrey Institute of Technology and Higher Education (ITESM), Mexico, (1997), and a BSc degree in Informatics at the Juarez Autonomous University of Tabasco (UJAT), Mexico, (1993). He has tutored over 40 BSc and MSc students. Dr. Wister has also authored and co-authored about 20 scientific papers published in peer-reviewed conferences and journals. He is the editor and co-author of the book Intelligent Data Sensing and Processing for Health and Well-being Applications (Editorial Academic Press, ELSEVIER). He is also associate editor in two Journals: 1. Internet of Things Engineering Cyber Physical Human Systems; 2. International Journal of Grid and Utility Computing. His research interests are ubiquitous computing, focusing on ambient intelligence and the Internet of Things. viewed conferences and journals. Juana Canul-Reich holds a PhD in Computer Science and Engineering from the University of South Florida with a major in Data mining. She is currently a Professor-Researcher in the Academic Division of Sciences and Information Technologies at UJAT where she has tutored over 7 PhD thesis, 6 Msc thesis, and 15 BSc thesis. PhD Canul-Reich has also authored and co-authored over 30 scientific papers published in peer-reviewed conferences and journals. She is a level-2 member of the National Research System of CONAHCYT. She actively participates as a referee for both national and international scientific journals in the fields of machine learning or computational science. She has also been responsible for research projects funded by PRODEP and CONAHCYT. Her research interests focus mainly on Data Science and Artificial Intelligence applied to the health area. Lil María Rodríguez Henríquez. Her research interests are ubiquitous computing, focusing on distributed systems, Cryptography and Security. Received her Ph.D. degree from the Centro de Investigación y Estudios Avanzados of the IPN, in 2015. She is currently a CONAHCYT Research Fellow with the National Institute of Astrophysics, Optics and Electronics (INAOE). Her recent work involves security on databases, partial order algorithms. She has tutored over 2 PhD thesis, 7 Msc thesis, and 4 BSc thesis at INAOE. PhD Rodríguez has also authored and co-authored about 15 scientific papers published in peer-reviewed conferences and journals.

Select Guide Rating

• 1. Artificial Intelligence Applied in Emerging Healthcare Technologies2. Towards Detection of Depression and Anxiety in Adolescents through Social Media Texts3. Enhancing Air Quality Analysis with Quantum Computing: Predicting the Risk of Sick Building Syndrome4. Incorporating a Chatbot in a Virtual Rehabilitation System: Methodology and Preliminary Evaluation5. Automatic Speech Analysis for Detecting Cognitive Impairment6. Personalized medicine, digital innovation, and artificial intelligence: An analysis according to the different stakeholders7. Impact of Artificial Intelligence (AI) on Diagnostic Disease Detection8. Association of D-dimer and Fibrinogen with COVID-19 Severity: A Statistical and Clustering Approach9. Application of Artificial Intelligence in the Research of Communicable and Non-Communicable Diseases10. AI-Assisted Identification of Depressive Symptoms with Large Language Models11. Hand information extraction using artificial intelligence for Alzheimer’s disease diagnosis12. Assistive System for Visually Impaired Using YOLO and WebSockets

Miguel A. Wister received his Ph.D. in Information Technology and Communications Engineering from the University of Murcia, Spain (2008). He earned an MSc in Informatics Technology at the Monterrey Institute of Technology and Higher Education (ITESM), Mexico, (1997), and a BSc degree in Informatics at the Juarez Autonomous University of Tabasco (UJAT), Mexico, (1993). He has tutored over 40 BSc and MSc students. Dr. Wister has also authored and co-authored about 20 scientific papers published in peer-reviewed conferences and journals. He is the editor and co-author of the book Intelligent Data Sensing and Processing for Health and Well-being Applications (Editorial Academic Press, ELSEVIER). He is also associate editor in two Journals: 1. Internet of Things Engineering Cyber Physical Human Systems; 2. International Journal of Grid and Utility Computing. His research interests are ubiquitous computing, focusing on ambient intelligence and the Internet of Things. viewed conferences and journals. Juana Canul-Reich holds a PhD in Computer Science and Engineering from the University of South Florida with a major in Data mining. She is currently a Professor-Researcher in the Academic Division of Sciences and Information Technologies at UJAT where she has tutored over 7 PhD thesis, 6 Msc thesis, and 15 BSc thesis. PhD Canul-Reich has also authored and co-authored over 30 scientific papers published in peer-reviewed conferences and journals. She is a level-2 member of the National Research System of CONAHCYT. She actively participates as a referee for both national and international scientific journals in the fields of machine learning or computational science. She has also been responsible for research projects funded by PRODEP and CONAHCYT. Her research interests focus mainly on Data Science and Artificial Intelligence applied to the health area. Lil María Rodríguez Henríquez. Her research interests are ubiquitous computing, focusing on distributed systems, Cryptography and Security. Received her Ph.D. degree from the Centro de Investigación y Estudios Avanzados of the IPN, in 2015. She is currently a CONAHCYT Research Fellow with the National Institute of Astrophysics, Optics and Electronics (INAOE). Her recent work involves security on databases, partial order algorithms. She has tutored over 2 PhD thesis, 7 Msc thesis, and 4 BSc thesis at INAOE. PhD Rodríguez has also authored and co-authored about 15 scientific papers published in peer-reviewed conferences and journals.

Select Guide Rating

• 1. Artificial Intelligence Applied in Emerging Healthcare Technologies2. Towards Detection of Depression and Anxiety in Adolescents through Social Media Texts3. Enhancing Air Quality Analysis with Quantum Computing: Predicting the Risk of Sick Building Syndrome4. Incorporating a Chatbot in a Virtual Rehabilitation System: Methodology and Preliminary Evaluation5. Automatic Speech Analysis for Detecting Cognitive Impairment6. Personalized medicine, digital innovation, and artificial intelligence: An analysis according to the different stakeholders7. Impact of Artificial Intelligence (AI) on Diagnostic Disease Detection8. Association of D-dimer and Fibrinogen with COVID-19 Severity: A Statistical and Clustering Approach9. Application of Artificial Intelligence in the Research of Communicable and Non-Communicable Diseases10. AI-Assisted Identification of Depressive Symptoms with Large Language Models11. Hand information extraction using artificial intelligence for Alzheimer’s disease diagnosis12. Assistive System for Visually Impaired Using YOLO and WebSockets