Systems Biology And Data Driven Machine Learning Based Models In Personalized Cardiovascular Medicine
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Systems Biology And Data Driven Machine Learning Based Models In Personalized Cardiovascular Medicine
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Author : Miguel Hueso
language : en
Publisher: Frontiers Media SA
Release Date : 2023-11-15
Systems Biology And Data Driven Machine Learning Based Models In Personalized Cardiovascular Medicine written by Miguel Hueso 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 2023-11-15 with Medical categories.
In Silico Clinical Trials For Cardiovascular Disease
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Author : Nenad Filipović
language : en
Publisher: Springer Nature
Release Date : 2024-07-27
In Silico Clinical Trials For Cardiovascular Disease written by Nenad Filipović and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-27 with Science categories.
This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field: finite element modeling, system biology modeling for drug optimization, artificial intelligence approach for medical image processing, as well as pharmacokinetic and AI modeling. Part II provides use cases to describe how in silico clinical trials of cardiovascular disease are applied to specific cardiovascular diseases: carotid artery plaque modeling, aorta stenosis modeling, stent biodegradation modeling, surrogate AI model for left ventricle modeling, and more. This book is geared toward upper-level undergraduate and graduate students as well as for researchers in the domains of bioengineering, biomechanics, biomedical engineering and medicine.
Intelligent Data Analytics For Bioinformatics And Biomedical Systems
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Author : Neha Sharma
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-11
Intelligent Data Analytics For Bioinformatics And Biomedical Systems written by Neha Sharma and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Medical categories.
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.
Phealth 2019
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Author : B. Blobel
language : en
Publisher: IOS Press
Release Date : 2019-05-29
Phealth 2019 written by B. Blobel and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-29 with Medical categories.
Smart mobile systems like micro-systems, smart textiles and implants and sensor-controlled medical devices, together with related networks and cloud services, are important enablers for telemedicine and pervasive health to become the next generation of health services. Social media and gamification have added further to pHealth as an ecosystem. This book presents the proceedings of pHealth 2019, the 16th in a series of international conferences on personalized health, held in Genoa, Italy, from 10 – 12 June 2019. The book includes 1 keynote, 2 of 4 invited talks, 36 oral presentations and 7 poster presentations from a total of 141 international authors. All submissions were critically reviewed by at least two independent experts and a member of the Scientific Program Committee. This process resulted in a full paper rejection rate of more than 30%. Besides wearable or implantable micro and nano technologies for personalized medicine, this volume addresses topics such as legal, ethical, social, and organizational requirements and impacts as well as necessary basic research for enabling future proof care paradigms. Such participatory, predictive, personalized, preventive, and effective care settings combine medical services and public health, prevention, social and elderly care, but also wellness and personal fitness. The multilateral benefits of pHealth technologies for all stakeholder communities offer enormous potential for the improvement of both care quality and industrial competitiveness, and also for the management of health care costs. Hence, the book will be of interest to all those involved in the provision of healthcare.
Machine Learning And Systems Biology In Genomics And Health
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Author : Shailza Singh
language : en
Publisher: Springer Nature
Release Date : 2022-02-04
Machine Learning And Systems Biology In Genomics And Health written by Shailza Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Science categories.
This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.
Data Driven Decision Support System In Intelligent Healthcare
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Author : Debnath Bhattacharyya
language : en
Publisher: CRC Press
Release Date : 2025-08-12
Data Driven Decision Support System In Intelligent Healthcare written by Debnath Bhattacharyya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.
Machine Intelligence with Generative AI is one of the most trending topics with applications in almost all fields of life. In healthcare, it is not only accelerating the development of new products, but also automating the generation of new and synthetic content making it easier to train and improve machine learning models. Some of the biggest achievements of Generative AI in healthcare have been drug discovery, personalized care, differentially private synthetic data generation, operational efficiency, and many more. Generative AI models like Generative Adversarial Networks, and Variational Autoencoders are employed to generate synthetic medical images, aiding in data augmentation, facilitating disease diagnosis, and enabling advanced medical imaging research. Additionally, Generative AI techniques are being utilized for creating realistic electronic health records (EHRs) and simulated patient data, supporting privacy-preserving data sharing, and empowering innovative studies for personalized medicine and drug development. NLP models like ClinicalBERT use transformer-based deep learning architecture to understand and represent contextual information in large clinical text datasets, such as electronic health records (EHRs) and medical literature, and can better grasp medical terminologies, domain-specific language, and contextual nuances that are unique to the healthcare field. This volume delves into the realm of Machine Intelligence with Generative AI and explores its impact on the healthcare industry.
Proceedings Of International Conference On Artificial Intelligence For Innovations In Healthcare Industries Icshit 2024
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Author : Suman Kumar Swarnkar
language : en
Publisher: Springer Nature
Release Date : 2025-04-30
Proceedings Of International Conference On Artificial Intelligence For Innovations In Healthcare Industries Icshit 2024 written by Suman Kumar Swarnkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Medical categories.
This open access book discusses and explores the transformative potential of artificial intelligence (AI) in healthcare. It covers a broad range of topics, focusing on the application of AI technologies to improve healthcare delivery, enhance patient outcomes, and drive innovation in medical research and practice, with a strong emphasis on computational science.
Multiscale Modeling To Tackle The Complexity Of Load Bearing Organ And Tissue Regulation
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Author : Jerome Noailly
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-11
Multiscale Modeling To Tackle The Complexity Of Load Bearing Organ And Tissue Regulation written by Jerome Noailly 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 2022-03-11 with Science categories.
Ai Driven Alzheimer S Disease Detection And Prediction
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Author : Lilhore, Umesh Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-09
Ai Driven Alzheimer S Disease Detection And Prediction written by Lilhore, Umesh Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-09 with Medical categories.
Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.
Systems Medicine
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Author :
language : en
Publisher: Academic Press
Release Date : 2020-08-24
Systems Medicine written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with Science categories.
Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information