Mario Cannataro is Full Professor of Computer Engineering and Bioinformatics at the University “Magna Graecia” of Catanzaro, Italy. He directs the Data Analytics Research Center and chairs the Bioinformatics Laboratory, leading interdisciplinary research at the interface of computing and life sciences. His research interests include bioinformatics, medical informatics, artificial intelligence, data analytics, sentiment analysis, and parallel and distributed computing. Professor Cannataro is actively involved in the international bioinformatics community through editorial, conference, and professional service activities, including participation in scientific committees, workshop organization, and journal editorial boards. He has contributed extensively to research and innovation in computational biology and health informatics and has authored numerous scholarly publications and books. He also serves on regional and national bodies related to bioinformatics, telemedicine, medical informatics, and research ethics, supporting collaboration and advancement across these fields. Pietro Hiram Guzzi the Ph.D. degree in biomedical engi- neering from Magna Græcia University, Italy, in 2008. He has been an Associate Professor of computer engineering with Magna Græcia Univer- sity since 2008. He has been a Visiting Researcher with Georgia Tech University, Atlanta. He has authored two books. His research interests include semantic-based and network-based analysis of biological and clinical data. He is a member of the ACM, BITS, ISMB, and NETBIO COSI. He is an Editor of a newsletter of the ACM Special Interest Group on Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBio), and the IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. He serves the scientific community as a reviewer for many conferenceS. He wrote two books and he edited another one. Giuseppe Agapito is an assistant professor of computer engineering with the University Magna Græcia, Catanzaro, Italy. His current research interests include analysis and visualization of biological networks, efficient analysis of genomics data, parallel computing, and data mining. In particular, the research activity is focused on the development and implementation of statistical and data mining methodologies also based on parallel and distributed computing, for the efficient analysis of omics data. He has published over 70 articles for international journals and conference proceedings. He is a member of the ACM, ACM SIGBio, and BITS. Chiara Zucco received her Master Degree in Mathematics at the University of Calabria. She currently is a third-year Ph.D. student in the Biomarkers of Chronic and Complex Diseases Ph.D. Program at University “Magna Graecia” of Catanzaro, Italy. Her Ph.D. research is mainly focused on applying Text Mining and in particular Sentiment Analysis techniques for patient monitoring and adverse events prediction. She is also interested in Explainable Artificial Intelligence. Marianna Milano received her Master Degree in Computer Engineering from the University "Magna Graecia" of Catanzaro, Italy, in 2011 and the Ph.D. degree in Biomarkers of Chronic and Complex Diseases at the University "Magna Graecia" of Catanzaro, Italy, in 2019. Her research interests comprise semantic-based and network-based analysis of biological and clinical data. She is a member of BITS (Italian Bioinformatics Society).

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• PART 1 ARTIFICIAL INTELLIGENCE: METHODS1. Knowledge Representation and Reasoning2. Machine Learning3. Artificial Intelligence4. Data Science5. Deep Learning6. Explainability of AI methods7. Intelligent AgentsPART 2 ARTIFICIAL INTELLIGENCE: BIOINFORMATICS8. Sequence Analysis9. Structure Analysis10. Omics Sciences11. Ontologies in Bioinformatics12. Integrative Bioinformatics13. Biological Networks Analysis14. Biological Pathway Analysis15. Knowledge Extraction from Biomedical Texts16. Artificial Intelligence in Bioinformatics: Issues and Challenges