This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.

This book helps transform the awareness of the anticipatory perspective into actionable methods for practitioners of medicine. It provides guidance for those who design new means and methods inspired by epigenetics, in particular to those who advance sustainable alternatives.

Published as an Open Access book, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions translates decades of academic knowledge and standard requirements into applicable procedures and decision support tools for the energy industry. Designed specifically for practitioners in the energy industry, readers will find the tools to maximize the value of renewable energy forecast information in operational decision-making applications and significantly reduce the costs of integrating large amounts of wind and solar generation assets into grid systems through more efficient management of the renewable generation variability. Authored by a group of international experts as part of the IEA Wind Task 36 (Wind Energy Forecasting), the book addresses the issue that many current operational forecast solutions are not properly optimized for their intended applications. It provides detailed guidelines and recommended practices on forecast solution selection processes, designing and executing forecasting benchmarks and trials, forecast solution evaluation, verification, and validation, and meteorological and power data requirements for real-time forecasting applications. In addition, the guidelines integrate probabilistic forecasting, integrate wind and solar forecasting, offer improved IT data exchange and data format standards, and have a dedicated section to dealing with the requirements for SCADA and meteorological measurements. A unique and comprehensive reference, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions is an essential guide for all practitioners involved in wind and solar energy generation forecasting from forecast vendors to end-users of renewable forecasting solutions.

This book presents select proceedings of the APA Bioforum International e-Conference on Polymeric Biomaterials & Bioengineering (APA Bioforum 2021). This book mainly focuses on developing innovative polymeric materials for bioengineering and human healthcare systems. This book helps in the understanding of molecular architecture and its role in governing physical characteristics which is extremely useful to understand the interactions with the biosystem. The topics covered include polymer synthesis, biopolymers, biomaterials, smart materials, nanotechnology, tissue engineering, wound care system, hydrogel, targeted drug delivery, water decontamination and purification. The book will be a valuable reference for beginners, researchers and professionals interested in polymeric materials and biomaterials.

"Biofilm Eradication and Prevention"s presents the basics of biofilm formation on medical devices, diseases related to this formation, and approaches pharmaceutical researchers need to take to limit this problem. Split into three parts, the first deals with the development and characterization of biofilm on the surfaces of implanted or inserted medical devices. Questions as to why biofilms form over medical device surfaces and what triggers biofilm formation are addressed. In the second section, the author discusses biofilm-mediated chronic infections occurred in various organs (eyes, mouth, wounds) and pharmaceutical and drug delivery knowledge gained from research in these area. The third part explores pharmaceutical approaches like lipid-and polymer-based drug delivery carriers for eradicating biofilm on device-related infections. In addition, this section also explores the topic of novel small molecule (like iron and its complexes/metal chelators) and a quorum-sensing inhibitors to control medical biofilm formation.

This book covers the latest developments in tissue electrical conductivity and current density imaging, increasingly popular as well as challenging applications of MRI. These applications are enabled by the acquisition of high-quality MR phase images. This book provides a practical description of the MRI physics needed to understand and acquire phase images in MRI and the key details required to reconstruct them into conductivity, current density or electric field distributions. Comprehensive details are provided about the electrical properties of biological tissues, computational modeling considerations, experimental methods, construction of non-biological and biological phantoms and MRI pulse sequences. An inclusive review of image reconstruction algorithms, and their potential applications is provided for applications directed at determining current density or electric fields, such as in transcranial DC or AC stimulation techniques; as well as electrical conductivity reconstructions that may be of use in quantitative MRI applications used to detect cancer or other pathologies. This is an excellent book for undergraduate and graduate students beginning to explore phase, current density, and conductivity imaging in MRI, and will also be of great use to researchers interested in the area of MR-based electrical property imaging.

Modeling Biomolecular Networks in Cells shows how the interaction between the molecular components of basic living organisms can be modelled mathematically and the models used to create artificial biological entities within cells. Such forward engineering is a difficult task but the nonlinear dynamical methods espoused in this book simplify the biology so that it can be successfully understood and the synthesis of simple biological oscillators and rhythm-generators made feasible. Such simple units can then be co-ordinated using intercellular signal biomolecules. The formation of such man-made multicellular networks with a view to the production of biosensors, logic gates, new forms of integrated circuitry based on "gene-chips" and even biological computers is an important step in the design of faster and more flexible "electronics". The book also provides theoretical frameworks and tools with which to analyze the nonlinear dynamical phenomena which arise from the connection of building units in a biomolecular network.

This book focuses on biomaterials of different forms used for medical implants. The authors introduce the characteristics and properties of biomaterials and then dedicate special chapters to metallic, ceramic, polymeric and composite biomaterials. Case studies on sterilization methods by biomaterials are also presented. Finally, the authors describe the degradation and effects of biomaterials in living tissue.

This book (Technological Advancement in Instrumentation & Human Engineering) gathers selected papers submitted to the 6th International Conference on Mechanical Engineering Research in fields related to human engineering, ergonomics, vibration, instrumentation, Internet of Things and signal processing. This proceeding consists of papers in aforementioned related fields presented by researchers and scientists from universities, research institutes and industry showcasing their latest findings and discussions with an emphasis on innovations and developments in embracing the new norm, resulting from the COVID pandemic.

This volumes presents the proceedings of the FASMI 2020 conference, held at Taipei Veterans General Hospital on November 20-22, 2020. It presents contributions on all aspects of molecular imaging, discovered by leading academic scientists and researchers. It also provides a premier interdisciplinary treatment of recent innovations, trend, and concerns as well as practical challenges and solutions in Molecular Imaging and put an emphasis on Artificial Intelligence applied to Imaging Data. FASMI is the annual meeting of the Federation of Asian Societies for Molecular Imaging

This book highlights the latest advances on the implementation and adaptation of blockchain technologies in real-world scientific, biomedical, and data applications. It presents rapid advancements in life sciences research and development by applying the unique capabilities inherent in distributed ledger technologies. The book unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement used to unlock opportunities to advance life sciences research. This paradigm shift is explored from the perspectives of pharmaceutical professionals, biotechnology start-ups, regulatory agencies, ethical review boards, and blockchain developers. This book enlightens readers about the opportunities to empower and enable data in life sciences.

This book is focused on marine based biomedical carriers for delivery of therapeutics. Marine biomaterials and bio-based carriers show wide applications in pharmaceutical as well as biomedical fields for delivery of small and large molecules. Biomaterial-based composites, scaffolds or matrix systems are promising systems for controlled and prolonged release of drug in target site and control the premature release of drugs or bioactive compounds. This book discusses the targeted delivery of drugs and therapeutic applications. It also describes the use of marine biopolymers in cancer therapy. Different chapters describe the tissue engineering techniques to develop these carriers. The marine biomaterial-based systems are widely used for tissue engineering, and biomedical imaging. This book is meant for industry experts, students and researchers in the area of pharmaceutical sciences, biomedical engineering and material science and pharmacology.

This volume provides state-of-the-art methodology to functionalize microtubules and construct microtubule-based materials. Chapters consists of six sections detailing modification of microtubule structures, observation and control of microtubule movement, material applications of microtubules in vitro, development of microtubule-binding molecules, comprehensive approaches to analyze properties of microtubules, and functionalization of microtubules in living cells. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Microtubules: Methods and Protocols aims to provide useful information for construction of microtubule-based materials and help to create new ideas for the next-generation of materials and applications through detailed protocols.

Increase in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term. Computer Vision specialists have developed new methods for automatic food intake monitoring and food logging. Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics are key for sustainable food understanding. The need for AI based technologies that allow tracking of physical activities and nutrition habits are rapidly increasing and automatic analysis of food images plays an important role. Computer vision and image processing offers truly impressive advances to various applications like food analytics and healthcare analytics and can aid patients in keeping track of their calorie count easily by automating the calorie counting process. It can inform the user about the number of calories, proteins, carbohydrates, and other nutrients provided by each meal. The information is provided in real-time and thus proves to be an efficient method of nutrition tracking and can be shared with the dietician over the internet, reducing healthcare costs. This is possible by a system made up of, IoT sensors, Cloud-Fog based servers and mobile applications. These systems can generate data or images which can be analyzed using machine learning algorithms. Image Based Computing for Food and Health Analytics covers the current status of food image analysis and presents computer vision and image processing based solutions to enhance and improve the accuracy of current measurements of dietary intake. Many solutions are presented to improve the accuracy of assessment by analyzing health images, data and food industry based images captured by mobile devices. Key technique innovations based on Artificial Intelligence and deep learning-based food image recognition algorithms are also discussed. This book examines the usage of 4.0 industrial revolution technologies such as computer vision and artificial intelligence in the field of healthcare and food industry, providing a comprehensive understanding of computer vision and intelligence methodologies which tackles the main challenges of  food and health processing. Additionally, the text focuses on the employing sustainable 4 IR technologies through which consumers can attain the necessary diet and nutrients and can actively monitor their health. In focusing specifically on the food industry and healthcare analytics, it serves as a single source for multidisciplinary information involving AI and vision techniques in the food and health sector. Current advances such as Industry 4.0 and Fog-Cloud based solutions are covered in full, offering readers a fully rounded view of these rapidly advancing health and food analysis systems. 

This book covers the most important topics in the field of personalized orthopedics. It starts with the 3D geometry of the bones, focusing on the problem of reverse engineering of the bones. It also shows the application of a 3D geometric model of bone for the design of personalized implants and prostheses. This book covers the application of additive technologies in personalized orthopedics as well as prediction, simulation and optimization in personalized orthopedics. Its content provides the necessary knowledge for the transition from classical to personalized orthopedics. The authors present an original method for reverse bone engineering-the Method of Anatomical Features (MAF). This method is unique as it enables the reconstruction of the original geometry and topology of the bone, even when only data on its part are available. The application of this method is shown on the examples of human long bones, mandible and hip bone reconstruction. This book contains a review of several real cases of personalized implants. It gives several examples of prostheses for the design of which a 3D model of bones was used, as well as other patient data on the basis of which personalized prostheses were designed.

This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year´s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research.

This book provides students and researchers with a resource that includes the current application of the multi-criteria decision theory in a variety of fields, including the environment, health care, engineering, and architecture. There are many critical parameters (criteria) that can directly or indirectly affect the consequences of various decisions. The application of the multi-criteria decision theory focusses mainly on the use of computational methods which include multiple criteria and orders of preference for the evaluation and the selection of the best option among many alternatives based on the desired outcome. The theory of multi-criteria decision making (MCDM) is an approach that can be extremely useful for students, managers, engineers of manufacturing companies, etc.

This first book on high-speed atomic force microscopy (HS-AFM) is intended for students and biologists who want to use HS-AFM in their research. It provides straightforward explanations of the principle and techniques of AFM and HS-AFM. Numerous examples of HS-AFM studies on proteins demonstrate how to apply this new form of microscopy to specific biological problems. Several precautions for successful imaging and the preparation of cantilever tips and substrate surfaces will greatly benefit first-time users of HS-AFM. In turn, the instrumentation techniques detailed in Chapter 4 can be skipped, but will be useful for engineers and scientists who want to develop the next generation of high-speed scanning probe microscopes for biology. The book is intended to facilitate the first-time use of this new technique, and to inspire students and researchers to tackle their own specific biological problems by directly observing dynamic events occurring in the nanoscopic world. Microscopy in biology has recently entered a new era with the advent of high-speed atomic force microscopy (HS-AFM). Unlike optical microscopy, electron microscopy, and conventional slow AFM, it allows us to directly observe biological molecules in physiological environments. Molecular "movies" created using HS-AFM can directly reveal how molecules behave and operate, without the need for subsequent complex analyses and roundabout interpretations. It also allows us to directly monitor morphological change in live cells, and dynamic molecular events occurring on the surfaces of living bacteria and intracellular organelles. As HS-AFM instruments were recently commercialized, in the near future HS-AFM is expected to become a common tool in biology, and will enhance and accelerate our understanding of biological phenomena.

This book provides an overview of the use of nanoparticles, carbon-nanotubes, liposomes, and nanopatterned flat surfaces for specific biomedical applications. This book explains the chemical and physical properties of the surface of these materials that allow their use in diagnosis, biosensing and bioimaging devices, drug delivery systems, and bone substitute implants. The toxicology of these particles is also discussed in the light of a new field referred to as nanotoxicology in this book. This book will be useful for engineers, researchers and industry professionals primarily in the fields of polymer science and engineering, materials science, surface science, nanocatalysis, biotechnology and biomedicine.

The growing importance of glycobiology and carbohydrate chemistry in modern biotechnology and the pharmaceutical industry makes accurate carbohydrate analysis indispensable. This book provides the principles and protocols of various fundamental carbohydrate analysis methods. Choice of method is entirely dependent upon the type of material being investigated (biological samples, food products, etc.), and the level of structural detail required, i.e. sugar content, compositional analysis, linkages between the sugar components, or the total chemical structure of a given molecule. Full structural characterization of carbohydrate chains requires significant time, resources, and skill in several methods of analysis; no single technique can address all glycan analysis needs. This book summarizes several existing analytical techniques (both chemical and physical) in an introductory volume designed for the non-expert researcher or novice scientist. While background in carbohydrate chemistry is assumed, all information necessary to understanding the described techniques is addressed in the text.

This book focuses on energy metabolism and brain functions related to Cortical Spreading Depression of Leao (CSD), an important issue in brain pathophysiology. The first part of the book offers a comprehensive overview of the history and early research on CSD, and then discusses the recent advances in the technology used to map and monitor brain mitochondrial NADH redox state and other physiological functions during CSD. The chapters explore the connection between CSD and mitochondrial function under hypoxia, Ischemia and various drugs treatment, and provide a resource to scientists researching the development of CSD during various brain pathophysiological conditions. This book is essential to scientists and students working in the field of bioenergetics of the brain and various organs and tissues in the body. The use of this technology is also crucial and applicable in the neuroscience field.

"COVID-19 and Omics Technologies" is a comprehensive, integrative assessment of recent information and knowledge collected on SARS-CoV-2 and COVID-19 during the pandemic based on omics technologies. It demonstrates how omics technologies could better investigate the infectious disease and propose solutions to the current concerns. The value of multi-omics technologies in understanding disease etiology and host response, discovering infection biomarkers and illness prediction, identifying vaccine candidates, discovering therapeutic targets, and tracing pathogen evolution is discussed in this book. These factors combine to make it a valuable resource to enhance understanding of both "Omics technology" and "COVID-19" as a disease. The book covers the most recent understanding of COVID-19 and the applications of cutting-edge studies, making it accessible to a large multidisciplinary readership. The book explains how high-throughput technologies and systems biology might assist to solve the pandemic's challenges and deconstruct and appreciate the substantial contributions that omics technologies have made in predicting the path of this unforeseeable pandemic. Features: In-depth summary of clinical presentation, epidemiological impact, and long-term sequelae of COVID-19 pandemic. A systematic overview of omics-based approaches to the study of COVID-19 biology. Recent research results and some pointers to future advancements in methodologies used. Detailed examples from recent studies on COVID-19 encompassing different omics methodologies. A detailed description of methodologies and notes on the applications of state-of-the-art technologies. This book is intended for scientists who need to understand the biology of COVID-19 from the perspective of omics investigations, as well as researchers who want to employ omics-based technologies in disease biology.

This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.