Drawing on shared research experiences and collaborative projects, this book offers a broad and timely perspective on research on the hand and its current challenges. It especially emphasizes the interdisciplinary context in which researchers need to be trained in contemporary science. From language to psychology, from neurology to the social sciences, and from art to philosophy and religion, the chapters discuss various aspects involved in hand research and therapy. On the basis of concrete and validated case studies, they approach hand function and gestures from different perspectives - not only neurological and medical, but also philosophical, evolutionary and anthropological. By highlighting the overlaps between different areas of research, the book seeks to foster better communication between researchers, and ultimately a better understanding of hand function and its recovery. It offers essential information and inspirations for students, researchers and practitioners in the fields of psychology, epistemology, bioengineering, neuroscience, anthropology and bioethics.

This book provides an accessible and up to date overview of the foundational issues about both emerging constructive understandings of the digital era and still hidden and ignored aspects that could instead be dramatically relevant in the future, in the process of a technological humanism. The book offers relevant scientific and ethical questions bringing together professionals and researchers, from different professional and disciplinary fields, who have a shared interest in investigating operative aspects of technological, digital and cultural transitions of humans and their capacity of building human societies. The challenges are clear but there is a lack of an epistemological, anthropological, economic and social agenda that would enable a drive to such transitions towards a technological humanism. This book provides an ideal platform for professionals and scholars, not only providing tools for problem analysis, but also indicating shared directions, needs and objectives for a common goal; the creation of new scenarios instead of the creation of fears and manipulated social imaginaria.

This book provides a critical reflection on automated science and addresses the question whether the computational tools we developed in last decades are changing the way we humans do science. More concretely: Can machines replace scientists in crucial aspects of scientific practice? The contributors to this book re-think and refine some of the main concepts by which science is understood, drawing a fascinating picture of the developments we expect over the next decades of human-machine co-evolution. The volume covers examples from various fields and areas, such as molecular biology, climate modeling, clinical medicine, and artificial intelligence. The explosion of technological tools and drivers for scientific research calls for a renewed understanding of the human character of science. This book aims precisely to contribute to such a renewed understanding of science.

Focusing on cell dynamics, molecular medicine and robotics, contributors explore the interplay between biological, technological and theoretical ways of thinking. The collection makes a strong contribution to current debates in the philosophy of science and the changing role of scientific practice.

Focusing on cell dynamics, molecular medicine and robotics, contributors explore the interplay between biological, technological and theoretical ways of thinking. The collection makes a strong contribution to current debates in the philosophy of science and the changing role of scientific practice.

This book provides a critical reflection on automated science and addresses the question whether the computational tools we developed in last decades are changing the way we humans do science. More concretely: Can machines replace scientists in crucial aspects of scientific practice? The contributors to this book re-think and refine some of the main concepts by which science is understood, drawing a fascinating picture of the developments we expect over the next decades of human-machine co-evolution. The volume covers examples from various fields and areas, such as molecular biology, climate modeling, clinical medicine, and artificial intelligence. The explosion of technological tools and drivers for scientific research calls for a renewed understanding of the human character of science. This book aims precisely to contribute to such a renewed understanding of science.

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 evidence. The contributors first discuss the new research framework in terms of theoretical foundations and then take up the relevance of a systems approach, reviewing such topics as nonlinearity, recurrence after treatment, the cellular attractor concept, network theory, and non-coding DNA--the dark matter of our genome. They address the temporality of cancer progression, drawing on evolutionary theory and clinical experience. Finally, they cover the dominant role of the tissue microenvironment in cancer, analyzing topics including altered metabolic pathways, the disease-defining influence on metastasis, and the interconnectedness of different environmental niches across levels of organization.