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Computational Approaches in Cheminformatics and Bioinformatics
A breakthrough guide employing knowledge that unites cheminformatics and bioinformatics as innovation for the future Bridging the gap between cheminformatics and bioinformatics for the first time, Computational Approaches in Cheminformatics and Bioinformatics provides insight on how to blend these two sciences for progressive research benefits. It describes the development and evolution of these fields, how chemical information may be used for biological relations and vice versa, the implications of these new connections, and foreseeable developments in the future. Using algorithms and domains as workflow tools, this revolutionary text drives bioinformaticians to consider chemical structure,...
Handbook of Chemoinformatics Algorithms
Unlike in the related area of bioinformatics, few books currently exist that document the techniques, tools, and algorithms of chemoinformatics. Bringing together worldwide experts in the field, the Handbook of Chemoinformatics Algorithms provides an overview of the most common chemoinformatics algorithms in a single source.After a historical persp
Leveraging Applications of Formal Methods, Verification and Validation
The two-volume set LNCS 7609 and 7610 constitutes the thoroughly refereed proceedings of the 5th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, held in Heraklion, Crete, Greece, in October 2012. The two volumes contain papers presented in the topical sections on adaptable and evolving software for eternal systems, approaches for mastering change, runtime verification: the application perspective, model-based testing and model inference, learning techniques for software verification and validation, LearnLib tutorial: from finite automata to register interface programs, RERS grey-box challenge 2012, Linux driver verification, bioscientific data processing and modeling, process and data integration in the networked healthcare, timing constraints: theory meets practice, formal methods for the developent and certification of X-by-wire control systems, quantitative modelling and analysis, software aspects of robotic systems, process-oriented geoinformation systems and applications, handling heterogeneity in formal development of HW and SW Systems.
Applied Machine Learning Using mlr3 in R
mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. Applied Machine Learning Using mlr3 in R gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R. It covers various key topics, including basic machine learning tasks, such as building and evaluating a predictive model; hyperparameter tuning of machine learning approaches to obtain peak performance; building machine learning pipelines that perform complex operations such as pre-processing followed by modelling followed by aggregation of predictions; and extending the mlr3 ecosystem with cu...
Digital Medicine
This book provides an introduction into the field of digital medicine, its wide spectrum of current clinical applications, and the future practice of medicine. With "digital health" and "digital medicine" at its core, it focuses on the combination of therapeutics with modern hard- and software solutions, including artificial intelligence and advanced diagnostic technologies such as augmented imaging and ingestible or wearable (nano)sensors, to provide best patient care. In the four parts of this book, experts in the field have authored use cases and guiding principles on the visualization of patient data analytics and clinical decision support tools, including robotic-guided interventions, as well as nursing research along with palliative and inpatient care. The book also provides examples of "digital medicine" from almost all clinical disciplines together with technical and e-learning solutions.
Chemical Informatics
New computational tools are allowing the generation and collection of chemical data on an unprecedented scale. They bring with them the power to examine patterns in the structure and function of molecules, to exploit this new knowledge to customise molecules, with far-reaching implications for drug design and drug optimisation. Chemical Informatics is a timely and much-needed textbook which provides an accessible and wide-ranging insight into a subject which is rapidly becoming a fundamental part of chemistry today. The first text to make the subject readily accessible to the student market; lecturers wishing to teach in this area now have a text they can base a course on Broad, balanced cov...
Archaeology of Mind in the Hebrew Bible / Archäologie Alttestamentlichen Denkens
Research into the Hebrew Bible, Ancient Near East, Philosophy and History have long considered whether thought in the cultural area of the ancient Middle East differs from that in the western Mediterranean. The inclusion of neurobiology, psychology, brain research and evolutionary research will widen this horizon and allow new approaches. This volume provides in depth insides into this Archaeology of Mind in 22 contributions.
Rethinking Cancer
Leading scientists argue for a new paradigm for cancer research, proposing a complex systems view of cancer supported by empirical evidence. Current consensus in cancer research explains cancer as a disease caused by specific mutations in certain genes. After dramatic advances in genome sequencing, never before have we known so much about the individual cancer cell--and yet never before has it been so unclear what to do with this knowledge. In this volume, leading researchers argue for a new theory framework for understanding and treating cancer. The contributors propose a complex systems view of cancer, presenting conceptual building blocks for a new research paradigm supported by empirical...
Artificial Intelligence in Science Challenges, Opportunities and the Future of Research
The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI.
