Construction And Utilization Of Digital Twins For Personalized Therapeutic Predictions
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Construction And Utilization Of Digital Twins For Personalized Therapeutic Predictions
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Author : Samuel Schäfer
language : en
Publisher: Linköping University Electronic Press
Release Date : 2024-10-18
Construction And Utilization Of Digital Twins For Personalized Therapeutic Predictions written by Samuel Schäfer and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with categories.
Modern healthcare faces a significant challenge, namely that 25-70% of patients with common diseases do not benefit from standard treatments despite the availability of over 13,000 drugs registered in DrugBank. This discrepancy is likely due to these diseases' complex and heterogeneous molecular nature rather than a lack of therapeutic options. Emerging technologies have revealed the immense molecular complexity underlying common diseases. For instance, singlecell RNA sequencing (scRNA-seq) has demonstrated altered gene interactions in and across multiple cell types in numerous tissues. Furthermore, these technologies have revealed vast molecular differences between patients with the same diagnosis. There is a wide gap between this complexity and the current diagnostic and therapeutic approaches. Aim: To bring personalized medicine one step closer to the clinic; this thesis focuses on developing digital disease models that can capture the molecular biological complexity of disease in individual patients. We aim to harness these disease models to identify optimal treatments for each individual patient. Paper I: We started by exploring the usefulness of OMIC-based approaches for diagnostic and therapeutic predictions. Utilizing a single-cell RNA-sequenced mouse model of antigen-induced arthritis, we aimed to prioritize cell types and therapeutic targets. Initial pathway enrichment analyses did not yield relevant prioritization, prompting an investigation into network-based approaches. Multi-cellular disease models (MCDMs) for AIA and human rheumatoid arthritis were constructed, incorporating predicted cell type interactions. Centrality analysis indicated that these interactions could quantify a cell type’s relative importance in disease pathogenesis. We hypothesized that transcriptomic alterations in central cell types might reflect the MCDM, serving as potential diagnostic markers. An analysis of CD4+ T cells from patients with 13 different inflammatory diseases and healthy controls demonstrated that these profiles could discriminate between healthy and diseased states and among diseases. Furthermore, a network-based approach identified drugs targeting disease- associated changes common to multiple inflammatory diseases. Notably, one of these drugs, bezafibrate, successfully dampened inflammation in the AIA mouse model. Paper II: Building on the insights from Paper I, we investigated multicellular network models (MNMs) with time as an additional dimension. Using seasonal allergic rhinitis (SAR) as a disease model, we analyzed time-series scRNAseq data to construct MNMs of inflammatory diseases. We identified thousands of disease-associated expression changes across multiple cell types, varying at different disease stages. Notably, upstream regulators (URs) of these changes were also stage-dependent and multidirectional. To prioritize URs for drug discovery, we focused on those causing significant expression changes in multiple cell types across all time points. This strategy was validated through similar analyses of atopic dermatitis, ulcerative colitis, and Crohn’s disease, confirming that ranked URs aligned with the efficacy of existing drugs targeting the URs in the respective diseases. Furthermore, experimental validation included targeting the top-ranked regulatory gene in SAR, which was more effective than previously discovered IL4 inhibition. Paper III: While Paper I established the use of transcriptomic data for therapeutic predictions, it focused on overlapping disease-related changes across multiple inflammatory diseases and considered transcriptomic changes in only one cell type. Paper II indicated a potential benefit in UR prioritization in numerous cell types. However, it yielded heterogeneous results and was limited by the fact that few drugs directly target URs. Neither of these approaches was feasible for individualized drug predictions. Drawing on previous insights by us and others, we next aimed to develop digital disease models for individual patients, termed digital twins, with the capability for drug efficacy screening. We proposed scDrugPrio, a strategy utilizing single-cell scRNA-sequencing-based multicellular disease models incorporating key biological and pharmacological properties, such as varying gene expression levels, varying gene interactions within and between cell types, and drug effect. scDrugPrio was constructed based on a mouse model of arthritis and validated by improved precision/recall for known drugs and in vitro studies of predicted drugs that were FDA approved for other diseases and had not yet been tried in rheumatoid arthritis or mouse arthritis. For validation, scDrugPrio was applied to human multiple sclerosis as well as Crohn’s disease data that included tissue samples from healthy and sick tissue of all patients; scDrugPrio was able to identify relevant treatments for individual patients and could distinguish anti-TNF responders from non-responders. Conclusion: This thesis demonstrates a framework for constructing digital disease models for personalized therapeutic predictions that might hold potential for better clinical treatment decisions. By leveraging advanced genome-wide analyses and network-based approaches, we may enhance the precision and efficacy of treatments for immune-mediated inflammatory diseases, bringing personalized medicine closer to clinical reality.
Construction And Utilization Of Digital Twins For Personalized Therapeutic Predictions
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Author : Samuel Schäfer
language : en
Publisher:
Release Date : 2024
Construction And Utilization Of Digital Twins For Personalized Therapeutic Predictions written by Samuel Schäfer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans
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Author : S., Balasubramaniam
language : en
Publisher: IGI Global
Release Date : 2025-03-28
Ai Powered Digital Twins For Predictive Healthcare Creating Virtual Replicas Of Humans written by S., Balasubramaniam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-28 with Medical categories.
AI-powered digital twins for predictive healthcare may revolutionize monitoring, diagnosis, and treatment of health conditions. By leveraging AI, machine learning, and data, to utilizing wearable devices, medical imaging, genetic profiles, and clinical records, digital twins can simulate a wide range of health scenarios and predict outcomes with accuracy. This innovation allows for proactive, individualized care by forecasting disease risks, optimizing treatment plans, and enabling real-time health monitoring. AI-driven digital twins offer insights into how various treatments, environmental factors, and lifestyle changes might affect long-term health. As healthcare becomes data-driven, the potential of AI-powered digital twins to transform patient care may reduce hospital admissions, improve outcomes, and reshape the future of medicine. AI-Powered Digital Twins for Predictive Healthcare: Creating Virtual Replicas of Humans explores the science, technology, and real-world applications behind digital twins. It examines how these digital replicas are used for predictive healthcare, accelerating drug discovery, simulating surgical outcomes, and personalizing therapeutic interventions based on real-time, AI-driven insights. This book covers topics such as digital twins, healthcare monitoring, and ethics and law, and is a useful resource engineers, healthcare professionals, academicians, researchers, and scientists.
Handbook Of Industrial And Business Applications With Digital Twins
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Author : Saravanan Krishnan
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Handbook Of Industrial And Business Applications With Digital Twins written by Saravanan Krishnan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
A digital twin represents the indistinguishable digital counterpart of the physical object to simulate, monitor and test with real time synchronization. This book presents the framework and important key aspects of digital twins, including various technologies with coverage of the digital twins in various industry and business applications. It provides a background of modeling and simulation, computer sensor technology and other areas required creating the next wave of digital twins. Features: Presents exclusive material on industrial and business applications of digital twins Includes diversified digital twin applications with use cases Focuses on tools and methods for digital twins, platforms, application domains and industries Emphasizes advances and cutting-edge technologies throughout Reviews artificial intelligence (AI), fog/edge computing, industrial automation, blockchains and the Internet of Things (IoT) This book is aimed at researchers and graduate students in cloud computing, simulation, the IoT and computer engineering.
Digital Twins And Simulation Technology
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Author : Lavanya Sharma
language : en
Publisher: CRC Press
Release Date : 2025-07-04
Digital Twins And Simulation Technology written by Lavanya Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Computers categories.
This book provides a comprehensive overview of the concept of digital twins, emphasising its strategic importance across various commercial domains. This book covers the fundamentals, data requirements, tools, and technologies essential for understanding and implementing digital twins. It discusses how digital twins are used for running simulations, analysing performance issues, and generating potential improvements to optimise business processes. The book explores the architecture, historical background, and real-time applications in sectors including urban planning, healthcare, smart cities, and manufacturing. Explains digital twin technology, including its core principles, architecture, and how it replicates physical objects in virtual platforms, in detail Covers the data types and tools necessary for creating and maintaining digital twins, including sensors, data processing systems, and integration methodologies Explores technologies such as Computer Vision, IoT, AI, ML, 5G, AR, and VR that drive the functionality and application of digital twins Analyses practical applications in diverse sectors like urban planning, smart cities, healthcare, manufacturing operations, and power-generation equipment, showcasing real-world use cases and benefits Examines real-time challenges and limitations associated with implementing digital twin technology, providing a balanced view of its capabilities and constraints It is a reference book for researchers, scholars, and students who are working or interested in learning about digital twin technology.
Exploring The Advancements And Future Directions Of Digital Twins In Healthcare 6 0
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Author : Dubey, Archi
language : en
Publisher: IGI Global
Release Date : 2024-07-18
Exploring The Advancements And Future Directions Of Digital Twins In Healthcare 6 0 written by Dubey, Archi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-18 with Computers categories.
The healthcare industry is increasingly complex, demanding personalized treatments and efficient operational processes. Traditional research methods need help to keep pace with these demands, often leading to inefficiencies and suboptimal outcomes. Integrating digital twin technology presents a promising solution to these challenges, offering a virtual platform for modeling and simulating complex healthcare scenarios. However, the full potential of digital twins still needs to be explored mainly due to a lack of comprehensive guidance and practical insights for researchers and practitioners. Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0 is not just a theoretical exploration. It is a practical guide that bridges the gap between theory and practice, offering real-world case studies, best practices, and insights into personalized medicine, real-time patient monitoring, and healthcare process optimization. By equipping you with the knowledge and tools needed to effectively integrate digital twins into your healthcare research and operations, this book is a valuable resource for researchers, academicians, medical practitioners, scientists, and students.
Building Personality Driven Language Models
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Author : Karol Przystalski
language : en
Publisher: Springer Nature
Release Date : 2025-03-22
Building Personality Driven Language Models written by Karol Przystalski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Computers categories.
This book provides an innovative exploration into the realm of artificial intelligence (AI) by developing personalities for large language models (LLMs) using psychological principles. Aimed at making AI interactions feel more human-like, the book guides you through the process of applying psychological assessments to AIs, enabling them to exhibit traits such as extraversion, openness, and emotional stability. Perfect for developers, researchers, and entrepreneurs, this work merges psychology, philosophy, business, and cutting-edge computing to enhance how AIs understand and engage with humans across various industries like gaming and healthcare. The book not only unpacks the theoretical aspects of these advancements but also equips you with practical coding exercises and Python code examples, helping you create AI systems that are both innovative and relatable. Whether you’re looking to deepen your understanding of AI personalities or integrate them into commercial applications, this book offers the tools and insights needed to pioneer this exciting frontier.
Harnessing Ai And Digital Twin Technologies In Businesses
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Author : Ponnusamy, Sivaram
language : en
Publisher: IGI Global
Release Date : 2024-07-26
Harnessing Ai And Digital Twin Technologies In Businesses written by Ponnusamy, Sivaram and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.
The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the need for operational excellence, innovation, and a competitive edge, all while navigating the intricate web of data analytics, decision-making, and real-time monitoring. In response to these challenges, Harnessing AI and Digital Twin Technologies in Businesses emerges as an example of insight and guidance, offering a comprehensive exploration of the complementary connection between AI and digital twin technology. In a world where the convergence of these powerful tools transforms business intelligence, enabling initiative-taking decision-making and dynamic simulations. This book serves as a solution for decision-makers, technologists, and researchers seeking to not only understand but harness the potential of AI-powered digital twins to enhance productivity, creativity, and judgment in their operations.
Digital Twins
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Author : Nilmini Wickramasinghe
language : en
Publisher: CRC Press
Release Date : 2025-08-22
Digital Twins written by Nilmini Wickramasinghe and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Computers categories.
This book centres on the topic of digital twins for superior healthcare decision support, as access is enabled to large volumes of multi-dimensional data such as patient’s electronic medical records, medical scans, and data. The reader learns about the possibility of a digital representation of analogous clinical cases built from data-driven models to represent and present relevant information and germane knowledge in context. Together with cutting-edge technologies, the authors share the ability of data-driven models to offer more efficient clinical decision support. The authors take a three-prong approach in the study of digital twins, the positive contributions made in other industries, the different types of applications and the numerous benefits offered. Artificial intelligence (AI) techniques, such as machine learning (ML) and deep learning (DL) algorithms, are discussed in the context of digital twins in healthcare applications. By looking at digital twins it is possible to reduce workflow challenges and provide fast and precise diagnosis. This then demonstrates how digital twins therefore support superior clinical decision-making. Importantly, the authors identify critical success issues, including co-design and research, for the design, development, and deployment of suitable digital twins. This book is written for the healthcare audience, professionals, physicians, medical administrators, managers, and IT practitioners. It also serves as a useful reference for senior-level undergraduate students and graduate students in health informatics and public health.
Innovative Treatment Strategies For Clinical Electrophysiology
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Author : Tomasz Jadczyk
language : en
Publisher: Springer Nature
Release Date : 2022-12-06
Innovative Treatment Strategies For Clinical Electrophysiology written by Tomasz Jadczyk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-06 with Science categories.
This book highlights the advancements in different fields of clinical electrophysiology and gives the reader a good background of the established practices. To tackle such a wide topic, the book focuses on two main aspects: ablation and pacing, discussing the novel energy sources and approaches to rhythm restoration and control; devices and signal processing, highlighting the new available technologies and numerical approaches aiding practice and home medicine. It also presents the reader with selected strategies that could be a paradigm shifts for the field: in situ cell reprogramming, exploiting the newly founded achievements in epigenetic modification of somatic cells; artificial intelligence; cardiac digital twinning, which aims to collect the information from imaging, mechanics and electrophysiology and condense it into a patient-specific model for personalized treatment.