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COVID and Emerging Infectious Diseases
Over the last two years with the strain of coronavirus having a devastating effect on the world’s healthcare system and triggering a global "lockdown", one question that has emerged; What, or which infectious disease is going to hit us next? Many infectious diseases prevalent in humans and animals are caused by pathogens that once emerged from other animal hosts. In addition to these established or re-emerging infections, new infectious diseases periodically emerge. In extreme cases they may lead to pandemics as we currently are seeing. The increased urbanization and globalization of the world order with faster connectivity and traveling has further in-creased the risk factors for emerging...
Machine Learning, Optimization, and Data Science
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Leadership OS
Based on years of original research, this book controversially counters almost every existing leadership model and approach. It shows how as leaders rise to senior levels, their roles become less about doing things that directly drive results and more about directing and supporting others to achieve objectives. Using case studies and research insights the authors reveal how leadership success is thus not so much about having the right core capabilities, but about creating the right environment. Using the analogy of a smartphone operating system (OS), the book presents a new way of thinking about leadership. The authors provide a clear and practical framework to follow and show how your leade...
Nomenclature: Avoiding Babylonian Speech Confusion in Present Day Immunology
We acknowledge the initiation and support of this Research Topic by the International Union of Immunological Societies (IUIS). A/Prof. Menno van Zelm currently serves as the chairman for the IUIS Nomenclature Committee; Prof. Pablo Engel is the chair of the IUIS CD Nomenclature Sub-Committee; Prof. Loems Ziegler-Heitbrock is the chair of the IUIS Monocytes and Dendritic Cells in Blood Sub-Committee; Asst. Prof. Sanny Chan is a member of the WHO / IUIS Allergen Nomenclature Sub-Committee and A/Prof. Andrew Collins is co-chair of the Germline Gene Database (GLDB) Working Group of the Adaptive Immune Receptor Repertoire community (AIRR-C) and chair of the Inferred Allele Review Committee (IARC).
Immune system modeling and analysis
The rapid development of new methods for immunological data collection – from multicolor flow cytometry, through single-cell imaging, to deep sequencing – presents us now, for the first time, with the ability to analyze and compare large amounts of immunological data in health, aging and disease. The exponential growth of these datasets, however, challenges the theoretical immunology community to develop methods for data organization and analysis. Furthermore, the need to test hypotheses regarding immune function, and generate predictions regarding the outcomes of medical interventions, necessitates the development of mathematical and computational models covering processes on multiple s...
Machine Learning, Optimization, and Big Data
This book constitutes the post-conference proceedings of the Third International Workshop on Machine Learning, Optimization, and Big Data, MOD 2017, held in Volterra, Italy, in September 2017. The 50 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Biopharmaceutical Informatics
Despite the phenomenal clinical success of antibody-based biopharmaceuticals in recent years, discovery and development of these novel biomedicines remains a costly, time-consuming, and risky endeavor with low probability of success. To bring better biomedicines to patients faster, we have come up with a strategic vision of Biopharmaceutical Informatics which calls for syncretic use of computation and experiment at all stages of biologic drug discovery and pre-clinical development cycles to improve probability of successful clinical outcomes. Biopharmaceutical Informatics also encourages industry and academic scientists supporting various aspects of biotherapeutic drug discovery and developm...
