Prediction And Explanation In Biomedicine Using Network Based Approaches
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Prediction And Explanation In Biomedicine Using Network Based Approaches
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Author : Alessio Martino
language : en
Publisher: Frontiers Media SA
Release Date : 2022-10-12
Prediction And Explanation In Biomedicine Using Network Based Approaches written by Alessio Martino and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-12 with Medical categories.
Comprehensive Systems Biomedicine
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Author : Pietro Lio
language : en
Publisher: Frontiers E-books
Release Date : 2014-12-03
Comprehensive Systems Biomedicine written by Pietro Lio and has been published by Frontiers E-books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-03 with Genetics categories.
Systems Biomedicine is a field in perpetual development. By definition a translational discipline, it emphasizes the role of quantitative systems approaches in biomedicine and aims to offer solutions to many emerging problems characterized by levels and types of complexity and uncertainty unmet before. Many factors, including technological and societal ones, need to be considered. In particular, new technologies are providing researchers with the data deluge whose management and exploitation requires a reinvention of cross-disciplinary team efforts. The advent of “omics” and high-content imaging are examples of advances de facto establishing the necessity of systems approaches. Hypothesis-driven models and in silico validation tools in support to all the varieties of experimental applications call for a profound revision. The focus on phases like mining and assimilating the data has substantially increased so to allow for interpretable knowledge to be inferred. Notably, to be able to tackle the newly generated data dimensionality, heterogeneity and complexity, model-free and data-driven intensive applications are increasingly shaping the computational pipelines and architectures that quant specialists set aside of the high-throughput genomics, transcriptomics, proteomics platforms. As for the societal aspects, in many advanced societies health care needs now more than in the past to address the problem of managing ageing populations and their complex morbidity patterns. In parallel, there is a growing research interest on the impact that cross-disciplinary clinical, epidemiological and quantitative modelling studies can have in relation to outcomes potentially affecting the quality of life of many people. Complex systems, including those characterizing biomedicine, are assessed in both their functionality and stability, and also relatively to the capacity of generating information from diversity, variation, and complexity. Due to the combined interactions and effects, such systems embed prediction power available for instance in both target identification or marker discovery, or more generally for conducting inference about patients’ pathological states, i.e. normal versus disease, diagnostic or prognostic analysis, and preventive assessment (e.g., risk evaluation). The ultimate goal, personalized medicine, will be achieved based on the confluence of the system’s predictive power to patient-specific profiling.
Emerging Methods In Predictive Analytics Risk Management And Decision Making
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Author : Hsu, William H.
language : en
Publisher: IGI Global
Release Date : 2014-01-31
Emerging Methods In Predictive Analytics Risk Management And Decision Making written by Hsu, William H. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-31 with Business & Economics categories.
Decision making tools are essential for the successful outcome of any organization. Recent advances in predictive analytics have aided in identifying particular points of leverage where critical decisions can be made. Emerging Methods in Predictive Analytics: Risk Management and Decision Making provides an interdisciplinary approach to predictive analytics; bringing together the fields of business, statistics, and information technology for effective decision making. Managers, business professionals, and decision makers in diverse fields will find the applications and cases presented in this text essential in providing new avenues for risk assessment, management, and predicting the future outcomes of their decisions.
Cognitive Informatics Computer Modelling And Cognitive Science
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Author : G. R. Sinha
language : en
Publisher: Academic Press
Release Date : 2020-04-08
Cognitive Informatics Computer Modelling And Cognitive Science written by G. R. Sinha and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-08 with Technology & Engineering categories.
Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume Two, Application to Neural Engineering, Robotics, and STEM presents the practical, real-world applications of Cognitive Science to help readers understand how it can help them in their research, engineering and academic pursuits. The book is presented in two volumes, covering Introduction and Theoretical Background, Philosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume Two includes Statistics for Cognitive Science, Cognitive Applications and STEM Case Studies. Other sections cover Cognitive Informatics, Computer Modeling and Cognitive Science: Application to Neural Engineering, Robotics, and STEM. The book's authors discuss the current status of research in the field of Cognitive Science, including cognitive language processing that paves the ways for developing numerous tools for helping physically challenged persons, and more.
Translational Research In Biomedical Sciences Recent Progress And Future Prospects
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Author : Krupakar Parthasarathy
language : en
Publisher: Springer Nature
Release Date : 2024-08-29
Translational Research In Biomedical Sciences Recent Progress And Future Prospects written by Krupakar Parthasarathy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Business & Economics categories.
The main objective of translational health science is to concentrate on discovering healthcare products for all people where care gaps exist. This book examines the applications of translational research, identifies its difficulties, outlines its essential characteristics, considers healthcare management strategies, and examines the public's perspectives today. This book assists aspiring implementation scientists in researching this area because the discipline is still relatively young for the wide range of researchers tackling the challenge of clinical and translational science, a field dedicated to examining human health and disease, interventions, and outcomes to develop new treatment approaches, devices, and modalities to improve health. This book Edition is the most authoritative and timely resource that introduces new physiological and therapeutic processes to engage the fastest-growing scientific outcomes from academic and industrial research. The chapters in this book give insights into perspectives on the field of clinical and translational science and discuss artificial intelligence in drug development and conventional and novel clinical trial designs. There is a lot of hope that using artificial intelligence (AI) will significantly advance all facets of healthcare, from diagnosis to therapy. AI is prepared to assist medical staff with various duties, including administrative workflow, clinical documentation, patient outreach, and specialist support like image analysis, medical device automation, and patient monitoring. Some of the most important uses of AI in healthcare will be covered in this book by eminent Scientists, Academicians, and Industrial persons from both clinical and non-clinical fields.
Recent Advances In Computing Sciences
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Author : Sophiya Sheikh
language : en
Publisher: CRC Press
Release Date : 2023-12-21
Recent Advances In Computing Sciences written by Sophiya Sheikh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Computers categories.
The 1st International Conference on Recent Advances in Computing Sciences (RACS-2022) organized by the School of Computer Application, Lovely Professional University, Jalandhar, Punjab from 4th to 5th November, 2022. The conference focuses on discussing issues, exchanging ideas, and the most recent innovations towards the advancement of research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial Intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber Security, Computational Sciences, Simulation & Modelling, Business Analytics, and Machine Learning. The main objective of this conference is to provide a common platform for academia and industry to discuss various technological challenges and share cognitive thoughts. It provided a thought-provoking platform to discuss and disseminate novel solutions for real-world problems in a dynamic and changing technological environment. The main success of RACS-2022 is to give an opportunity for the participants to enhance their knowledge of recent computing technologies.
Handbook Of Artificial Intelligence In Healthcare
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Author : Chee-Peng Lim
language : en
Publisher: Springer Nature
Release Date : 2021-09-17
Handbook Of Artificial Intelligence In Healthcare written by Chee-Peng Lim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-17 with Technology & Engineering categories.
This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.
Personalized Medicine
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Author : Nada Bodiroga-Vukobrat
language : en
Publisher: Springer
Release Date : 2016-10-27
Personalized Medicine written by Nada Bodiroga-Vukobrat and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-27 with Law categories.
This book offers comprehensive coverage of the various aspects of personalized medicine as an original approach to classifying, understanding, treating and preventing disease based on individual biological differences. In the introductory section, it defines personalized medicine as a way toward new medical practices and addresses the question: What can personalized medicine offer citizens, medical professionals, reimbursement bodies and stakeholders? Subsequent chapters discuss the technological aspects of personalized medicine: data collection, comprehensive integration and handling of data, together with key enabling factors in developing the requisite technological support for personalized medicine. Lastly, the book explores the main issues shaping the implementation and development of personalized medicine – education, stakeholder participation, infrastructure, a new approach to the classification of disease and medical tests, regulatory frameworks, and new reimbursement models – together with ethical, legal and social issues. Ultimately, the book calls for interdisciplinarity and a radical change in the way we approach the health and wellbeing of individuals. Target groups are medical doctors and researchers in the field of biomedicine, as well as experts from the social sciences dealing with legal, economic and social aspects of health system issues in general. Though the book will primarily benefit these groups of professional experts, its content will also appeal to a far wider readership, as it deals with a paradigm shift in one of society’s main pillars – the health system.
Multi Omics In Biomedical Sciences And Environmental Sustainability
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Author : Minu Kesheri
language : en
Publisher: Springer Nature
Release Date : 2025-06-25
Multi Omics In Biomedical Sciences And Environmental Sustainability written by Minu Kesheri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Medical categories.
This book offers a comprehensive exploration of the cutting-edge multi-omics technologies that are revolutionizing research across biomedical sciences and environmental sustainability. It addresses the urgent need for interdisciplinary research by integrating multi-omics approaches with bioinformatics and artificial intelligence. The book explores evolution of traditional omics technologies into comprehensive multi-omics strategies that synergize data output through advanced computational tools. It covers diverse topics such as health and disease mechanisms, drug discovery innovations, COVID-19 responses, cancer treatment personalization, neuroscience insights into brain disorders, cyanobacterial natural compounds' potential for biofuel production, lichen symbiosis studies, and more. This volume integrates genomics, proteomics, metabolomics, and more with bioinformatics, machine learning, and artificial intelligence to address complex challenges in health and the environment. With contributions from renowned scholars worldwide, this book illuminates recent advances through illustrative figures and case studies that enhance understanding of complex pathways while bioinformatics strategies streamline research outcomes. This book is a must-read for researchers, academics, and professionals in life sciences, biomedical fields, and environmental studies, interested in advancing their knowledge of multi-omics applications. It is also beneficial for scientists involved in drug design or biotechnological innovations related to environmental sustainability.
Big Data Analytics In Genomics
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Author : Ka-Chun Wong
language : en
Publisher: Springer
Release Date : 2016-10-24
Big Data Analytics In Genomics written by Ka-Chun Wong and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-24 with Computers categories.
This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field.This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.