Quantum Bioinformatics Four

Quantum Bioinformatics Four
Author: Luigi Accardi
Publisher: World Scientific
Total Pages: 503
Release: 2011
Genre: Computers
ISBN: 9814343765

The purpose of this proceedings volume is to return to the starting point of bio-informatics and quantum information, fields that are growing rapidly at present, and to seriously attempt mutual interaction between the two, with a view to enumerating and solving the many fundamental problems they entail. For such a purpose, we look for interdisciplinary bridges in mathematics, physics, information and life sciences, in particular, research for new paradigm for information science and life science on the basis of quantum theory.

Quantum Bio-informatics Vi: From Quantum Information To Bio-informatics - Proceedings Of Quantum Bio-informatics 2014

Quantum Bio-informatics Vi: From Quantum Information To Bio-informatics - Proceedings Of Quantum Bio-informatics 2014
Author: Luigi Accardi
Publisher: World Scientific
Total Pages: 207
Release: 2020-05-19
Genre: Science
ISBN: 981121784X

This volume seeks to return to the starting point of bio-informatics and quantum information, where these fields are constantly engaged in explosive advancements, and to seriously attempt mutual interaction between the two fields, with a view to enumerating and solving the many encountered fundamental problems. For such a purpose, we look for interdisciplinary bridges in mathematics, physics, information and life sciences, in particular, the research for a new paradigm for information science and life science on the basis of quantum theory.

Quantum Bio-informatics

Quantum Bio-informatics
Author: Luigi Accardi
Publisher: World Scientific
Total Pages: 469
Release: 2008
Genre: Science
ISBN: 981279316X

The purpose of this volume is examine bio-informatics and quantum information, which are growing rapidly at present, and to attempt to connect the two, with a view to enumerating and solving the many fundamental problems they entail. To this end, we look for interdisciplinary bridges in mathematics, physics, and information and life sciences. In particular, research into a new paradigm for information science and life science on the basis of quantum theory is emphasized.

Quantum Adaptivity in Biology: From Genetics to Cognition

Quantum Adaptivity in Biology: From Genetics to Cognition
Author: Masanari Asano
Publisher: Springer
Total Pages: 185
Release: 2015-04-14
Genre: Science
ISBN: 9401798192

This book examines information processing performed by bio-systems at all scales: from genomes, cells and proteins to cognitive and even social systems. It introduces a theoretical/conceptual principle based on quantum information and non-Kolmogorov probability theory to explain information processing phenomena in biology as a whole. The book begins with an introduction followed by two chapters devoted to fundamentals, one covering classical and quantum probability, which also contains a brief introduction to quantum formalism, and another on an information approach to molecular biology, genetics and epigenetics. It then goes on to examine adaptive dynamics, including applications to biology, and non-Kolmogorov probability theory. Next, the book discusses the possibility to apply the quantum formalism to model biological evolution, especially at the cellular level: genetic and epigenetic evolutions. It also presents a model of the epigenetic cellular evolution based on the mathematical formalism of open quantum systems. The last two chapters of the book explore foundational problems of quantum mechanics and demonstrate the power of usage of positive operator valued measures (POVMs) in biological science. This book will appeal to a diverse group of readers including experts in biology, cognitive science, decision making, sociology, psychology, and physics; mathematicians working on problems of quantum probability and information and researchers in quantum foundations.

Intelligent Data Analytics for Bioinformatics and Biomedical Systems

Intelligent Data Analytics for Bioinformatics and Biomedical Systems
Author: Neha Sharma
Publisher: John Wiley & Sons
Total Pages: 437
Release: 2024-11-20
Genre: Medical
ISBN: 1394270887

The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems. Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases. This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges. Audience Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.

Computational Systems Bioinformatics (Volume 7) - Proceedings Of The Csb 2008 Conference

Computational Systems Bioinformatics (Volume 7) - Proceedings Of The Csb 2008 Conference
Author: Peter Markstein
Publisher: World Scientific
Total Pages: 355
Release: 2008-08-01
Genre: Science
ISBN: 1908978708

This proceedings volume contains 29 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications.The papers not only cover theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field./a

Sixth Biennial Conference of the European Society for Engineering and Medicine

Sixth Biennial Conference of the European Society for Engineering and Medicine
Author: European Society for Engineering and Medicine. Conference
Publisher: IOS Press
Total Pages: 248
Release: 2001
Genre: Medical
ISBN: 9781586031862

The European Society for Engineering and Medicine is representative of both the engineering and medicine communities, with membership drawn across Europe. The aim of the society is to provide a bridge between the two communities to facilitate engineering solutions to medical problems. The ESEM 2001 conference had a real-world focus and scientific papers were selected on the basis of their clinical application. Contributors at the conference were worldwide to reflect the global relevance and significance of the topics. The papers reflect the three main tracks of the conference: health information systems; bioengineering; and medical instrumentation and imaging. Within each of these areas there are a number of sub-themes on a diverse range of topics, such as: tissue engineering and artificial organs; computers in medicine; and biomedical processing and modelling. This volume is a record of the oral and poster presentations made at the conference, with an overview of the conference structure and a list of keynote speakers.

Computational Systems Bioinformatics

Computational Systems Bioinformatics
Author: Peter Markstein
Publisher: World Scientific
Total Pages: 355
Release: 2008
Genre: Science
ISBN: 1848162634

This proceedings volume contains 29 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif identification, biological pathways and systems, and biomedical applications. The papers not only cover theoretical aspects of bioinformatics but also delve into the application of new methods, with input from computation, engineering and biology disciplines. This multidisciplinary approach to bioinformatics gives these proceedings a unique viewpoint of the field.

Open Quantum Systems in Biology, Cognitive and Social Sciences

Open Quantum Systems in Biology, Cognitive and Social Sciences
Author: Andrei Y. Khrennikov
Publisher: Springer Nature
Total Pages: 371
Release: 2023-06-03
Genre: Science
ISBN: 3031290240

This book mathematically analyzes the basic problems of biology, decision making and psychology within the framework of the theory of open quantum systems. In recent years there has been an explosion of interest in applications of quantum theory in fields beyond physics. The main areas include psychology, decision-making, economics, finance, social science as well as genetics and molecular biology. The corresponding models are referred to as quantum-like; they don’t concern any genuine physical processes in the human brain. Quantum-like models reflect the special features of information processing in biological, cognitive, and social systems which match well with the quantum formalism. This formalism gives rise to the quantum probability model (QP) which differs essentially from Kolmogorov's classical probability model. QP also serves as the basis for quantum information theory. Recently QP has been widely applied to the resolution of the basic paradoxes of decision making theory and to modeling experimental data stemming from cognition, psychology, economics, and finance thereby shedding light on probability fallacies and irrational behavior. In this book, the theory of quantum instruments and the quantum master equation are applied to the modeling of biological and cognitive processes, in particular, to the stability of complex biological and social systems interacting with their environment. An essential part of the book is devoted to the theory of the social laser and the Fröhlich condensate.

Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems

Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems
Author: Masanori Ohya
Publisher: Springer Science & Business Media
Total Pages: 768
Release: 2011-01-15
Genre: Science
ISBN: 9400701713

This monograph provides a mathematical foundation to the theory of quantum information and computation, with applications to various open systems including nano and bio systems. It includes introductory material on algorithm, functional analysis, probability theory, information theory, quantum mechanics and quantum field theory. Apart from standard material on quantum information like quantum algorithm and teleportation, the authors discuss findings on the theory of entropy in C*-dynamical systems, space-time dependence of quantum entangled states, entangling operators, adaptive dynamics, relativistic quantum information, and a new paradigm for quantum computation beyond the usual quantum Turing machine. Also, some important applications of information theory to genetics and life sciences, as well as recent experimental and theoretical discoveries in quantum photosynthesis are described.