Rishabha Malviya – författare

Revolutionizing Cancer Treatment: The Power of Molecularly Imprinted Polymers for Precision Therapy examines the transformative role of molecularly imprinted polymers (MIPs) in cancer management and treatment. This comprehensive book explores how MIPs can be utilized to create advanced drug delivery systems specifically targeting various cancer types, including breast, prostate, and lung cancers, among others. By integrating molecular imprinting techniques with precision oncology, this resource provides valuable insights for researchers, clinicians, and pharmaceutical developers aiming to enhance cancer therapies. Structured in a user-friendly format, the book includes detailed chapters dedicated to specific cancer types, highlighting the design and application of MIPs in targeted therapies. Users will find flow charts, process diagrams, and case studies to facilitate understanding of complex concepts. The necessity for this book arises from the pressing demand for precision medicine in oncology, as conventional treatments often suffer from issues of specificity and efficacy. Ultimately, this work serves as a vital reference for students, researchers, and healthcare professionals dedicated to advancing cancer treatment through innovative drug delivery systems.Focuses on a distinct cancer type (e.g., breast, prostate, pancreatic, and lung), detailing how MIPs can be tailored for drug delivery and treatmentProvides a solid foundation in the principles and latest advancements of this technology, addressing challenges and opportunities for researchers and industrial professionals seeking to innovate or enhance current therapeutic techniquesEmphasizes how MIPs can serve as precision tools in cancer therapyDelves into various molecular imprinting methods used to develop MIP-based drug delivery systems

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks.Features:Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care.Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery.Summarizes several strategies, analyses, and optimization methods for patient healthcare.Focuses on drug discovery and development by cloud computing and data-driven researchThe targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks.Features:Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care.Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery.Summarizes several strategies, analyses, and optimization methods for patient healthcare.Focuses on drug discovery and development by cloud computing and data-driven researchThe targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

This book addresses the limitations of existing therapeutic approaches using nanoparticles. Emerging Roles of Nanocarriers in Cancer Therapy will further provide information for the development of successful cancer nanomedicine therapies.FeaturesExplains different types of nanoparticles, targeting mechanisms, and approved nanotherapeutics for oncological implications in cancer treatment.Covers in detail the characteristics of various nanotechnology-based drug delivery systems.Discusses passive and active cellular targeting, ligand-based targeting of nanoparticles, and strategies to improve nanoparticle-cellular membrane interaction.Presents the application of nanotherapeutics, current challenges, and prospects, and describes the path of future research.Highlights smart strategies for improving the clinical impact of cancer nanomedicine.The text is primarily written for graduate students, and academic researchers in the fields of biotechnology, nanotechnology, drug delivery, pharmaceutical science, and pharmacology.

This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important. It further explains different scenarios corresponding to the latest technologies in the healthcare system for early diagnosis, enhanced treatment, and cure of diseases, including remote patient monitoring, cardiac monitoring, and deep learning for remediation.Features:• Emphasizes how embedded systems contribute to clinical care by facilitating personalized treatment and informed decision-making for healthcare professionals.• Highlights the role of embedded systems in tracking treatment progress, enabling healthcare professionals to monitor patient responses and adjust treatment plans accordingly.• Explores the application of embedded systems in remote patient monitoring, allowing for continuous health monitoring outside traditional healthcare settings.• Presents the integration of deep learning and telecommunication technology with embedded systems, optimizing their efficiency and utilization in biomedical applications.• Offers insights into future prospects for advancing biomedical applications through embedded systems, providing a roadmap for further innovation and development in the field.This reference work is useful for scholars and professionals interested in the applications and optimization of emerging smart technologies in the field of healthcare.

This book is an essential guide to the constantly changing environment of embedded systems in healthcare in a world where the convergence of technology and healthcare is becoming increasingly important. It further explains different scenarios corresponding to the latest technologies in the healthcare system for early diagnosis, enhanced treatment, and cure of diseases, including remote patient monitoring, cardiac monitoring, and deep learning for remediation.Features:• Emphasizes how embedded systems contribute to clinical care by facilitating personalized treatment and informed decision-making for healthcare professionals.• Highlights the role of embedded systems in tracking treatment progress, enabling healthcare professionals to monitor patient responses and adjust treatment plans accordingly.• Explores the application of embedded systems in remote patient monitoring, allowing for continuous health monitoring outside traditional healthcare settings.• Presents the integration of deep learning and telecommunication technology with embedded systems, optimizing their efficiency and utilization in biomedical applications.• Offers insights into future prospects for advancing biomedical applications through embedded systems, providing a roadmap for further innovation and development in the field.This reference work is useful for scholars and professionals interested in the applications and optimization of emerging smart technologies in the field of healthcare.

This book explores the advanced integration of nanotechnology and biomedicine, providing an in-depth analysis of the transformative impact of carbon nanotubes (CNTs) on healthcare. It provides a comprehensive coverage of the distinctive characteristics of CNTs, including their remarkable mechanical strength, electrical conductivity, and large surface area, which make them very suitable for numerous biomedical uses. The book provides an overview of the process of synthesizing and functionalizing CNTs. It then delves into the specific applications of CNTs in drug delivery systems to improve the effectiveness and targeting of therapeutic agents. Additionally, the book explores the use of CNTs in imaging and diagnostics, enhancing techniques such as MRI and fluorescence imaging. The book also discusses the involvement of CNTs in tissue engineering, namely in the fabrication of scaffolds that facilitate cell growth and tissue regeneration. It explores the application of CNTs in biosensors, where their high sensitivity enables early and accurate identification of diseases. Antibacterial characteristics of CNTs are reviewed in order to hinder infections in medical devices and implants. The potential of CNTs in gene therapy to enhance genetic treatments is also explored in the book. It addresses the concerns related to the toxicity, biocompatibility, and regulatory issues of CNTs. It carefully balances the promising potential of CNTs with the practical implications of their usage in the field of biomedicine. This book is indispensable for researchers, doctors, and individuals with an interest in the cutting-edge utilisation of nanotechnology in the field of medicine.

DEEP LEARNING FOR TREATMENTS The book provides the direction for future research in deep learning in terms of its role in targeted treatment, biological systems, site-specific drug delivery, risk assessment in therapy, etc. Deep Learning for Targeted Treatments describes the importance of the deep learning framework for patient care, disease imaging/detection, and health management. Since deep learning can and does play a major role in a patient’s healthcare management by controlling drug delivery to targeted tissues or organs, the main focus of the book is to leverage the various prospects of the DL framework for targeted therapy of various diseases. In terms of its industrial significance, this general-purpose automatic learning procedure is being widely implemented in pharmaceutical healthcare. AudienceThe book will be immensely interesting and useful to researchers and those working in the areas of clinical research, disease management, pharmaceuticals, R&D formulation, deep learning analytics, remote healthcare management, healthcare analytics, and deep learning in the healthcare industry.

The first book of its kind to show the potential of quantum computing in drug delivery. Drug delivery systems (DDS) are defined as methods by which drugs are delivered to desired tissues, organs, cells, and subcellular organs for drug release and absorption through a variety of drug carriers. By controlling the precise level and/or location of a given drug in the body, side effects are reduced, doses are lowered, and new therapies are possible. Nevertheless, there are still significant obstacles to delivering certain medications to particular cells. Drug delivery methods change pharmacokinetic, pharmacodynamic, and drug release patterns to enhance product efficacy and safety, as well as patient convenience and compliance. Computational approaches in drug development enable quick screening of a vast chemical library and identification of possible binders by using modeling, simulation, and visualization tools. Quantum computing (QC) is a fundamentally new computing paradigm based on quantum mechanics rules that enables certain computations to be conducted significantly more rapidly and effectively than regular computing, and hence this has huge promise for the pharmaceutical sector. Significant advances in computational simulation are making it easier to comprehend the process of drug delivery. This book explores an important biophysical component of DDSs, and how computer modeling may help with the logical design of DDSs with enhanced and optimized characteristics. The book concentrates on computational research for various important types of nanocarriers, including dendrimers and dendrons, polymers, peptides, nucleic acids, lipids, carbon-based DDSs, and gold nanoparticles. Audience Researchers and industry scientists working in clinical research and disease management; pharmacists, formulation and pharmaceutical scientists working in R&D; computer science engineers applying deep learning and quantum computing in healthcare.

INTEGRATION OF BIOMATERIALS FOR GENE THERAPY Brings industrial practitioners and researchers together to discuss how the deeper integration of biomaterial platforms could play a significant role in enabling breakthroughs in the application of gene editing for the treatment of human disease. This book comprises research and review articles from leading researchers with multidisciplinary experience. It discusses many broad topics, including nanoparticle-enabled gene therapy, inorganic nanocarrier-based gene delivery, non-viral delivery of nucleic acid, biocompatible hydrogels, silk, and polysaccharides-based gene delivery. Other gene delivery topics discussed include the use of smart and engineered biomaterials, combined therapy with growth factors and cell transportation, and the prospects and challenges in the treatment of different diseases, including cancer. This book bridges the knowledge of pharmaceutics, engineering, basic science, and clinical research fields in a way that will help the research community expedite the clinical application of these therapies for various diseases and conditions. Audience A broad range of researchers, scientists, and engineers in diverse fields such as materials science, biomedicine, biomedical engineering, biology, chemistry, physics, biotechnology, pharmacology, toxicology, and formulation scientists.

HUMAN-MACHINE INTERFACE The book contains the latest advances in healthcare and presents them in the frame of the Human-Machine Interface (HMI). The Human-Machine Interface (HMI) industry has witnessed the evolution from a simple push button to a modern touch-screen display. HMI is a user interface that allows humans to operate controllers for machines, systems, or instruments. Most medical procedures are improved by HMI systems, from calling an ambulance to ensuring that a patient receives adequate treatment on time. This book describes the scenario of biomedical technologies in the context of the advanced HMI, with a focus on direct brain-computer connection. The book describes several HMI tools and related techniques for analyzing, creating, controlling, and upgrading healthcare delivery systems, and provides details regarding how advancements in technology, particularly HMI, ensure ethical and fair use in patient care. Audience The target audience for this book is medical personnel and policymakers in healthcare and pharmaceutical professionals, as well as engineers and researchers in computer science and artificial intelligence.

MULTI-DRUG RESISTANCE IN CANCER The book details the mechanisms underlying multi-drug cellular resistance and the targets of novel chemotherapeutic agents. Cancer is a major killer all over the world. Even with all the progress made, chemotherapy is still the mainstay of modern cancer treatment. The progression of the cellular defeat of numerous independent anticancer drugs in terms of their chemical structure is a major barrier to successful chemotherapy. Multi-drug resistance (MDR) is a term for the fact that most cancer patients exhibit this phenomenon. According to the numbers, drug resistance carries the blame for 90% of cancer patient deaths. Refractory cancer and tumor recurrence are common outcomes of prolonged chemotherapy. Because of the prevalence of drug-resistance mutations, the difficulty of treating tumors increases and the therapeutic efficacy of drugs decreases. Multi-Drug Resistance in Cancer: Mechanism and Treatment Strategies contains nine chapters that cover topics such as: studying the mechanics of resistance to drugs by autophagy; studies to delineate the role of efflux transporters; expression of drug transporters; resistance to targeted therapies in breast cancer; advances in metallodrug driven combination treatment for cancer; and use of natural agents for the overcoming of cancer drug resistance. The book aims to provide the latest data on the mechanisms of cellular resistance to anticancer agents currently used in clinical treatment. It provides a better understanding of the mechanisms of MDR and targets of novel chemotherapy agents which should guide future research concerning new effective strategies in cancer treatment. Audience This book is written for pharmaceutical and biomedical scientists and researchers at both the bench and in the clinic who are interested in the mechanisms and strategies for overcoming cancer’s multi-drug resistance.

The book offers a comprehensive, interdisciplinary overview of how innovative soft materials are revolutionizing biosensing technologies, making it an essential read for anyone interested in cutting-edge advancements in biomedical research and healthcare. Soft materials include granular materials, foams, gels, polymers, surfactants, functional organics, and biological molecules. These structures can be altered by thermal or mechanical stress due to their ability to self-organize into mesoscopic physical structures. They are becoming increasingly significant as functional materials for broader applications because of their rich surface chemistry and versatile functions. A biosensor is an analytical tool for chemical compound detection that combines a biological element with a physicochemical detector. Sensitive biological components, such as proteins, carbohydrates, tissue, bacteria, and enzymes, are collected from a biomimetic element that interacts and binds with the analyte under investigation. In biosensors, soft matter may function as both a sensing and transducing component. The interplay of soft matter with biomolecular analytes results in cell signaling pathways, diagnostic tests for applications in low-resource environments, prospective drug development, molecular biodetection, chemical sensors, and biological sensors. Understanding these biomolecular interactions in the context of acute illnesses is critical for biomedical research and healthcare. This has fueled efforts to create a biosensor that is effective, low-cost, and label-free. Several approaches using soft materials to functionalize and tailor structures have greatly advanced science, including chemistry, physics, pharmaceutical science, materials science, and engineering. Soft Materials-Based Biosensing Medical Applications summarizes recent advances in soft materials with unique physicochemical properties that synergistically promote biosensing systems. Audience The book will be read by researchers, materials scientists, electronic and AI engineers, as well as pharmaceutical and biomedical professionals interested in the uses of biosensing.

ARTIFICIAL INTELLIGENCE FOR BONE DISORDER The authors have produced an invaluable resource that connects the fields of AI and bone treatment by providing essential insights into the current state and future of AI in bone condition diagnosis and therapy, as well as a methodical examination of machine learning algorithms, deep learning approaches, and their real-world uses. The book explores the use of artificial intelligence (AI) in the diagnosis and treatment of various bone illnesses. The integration of AI approaches in the fields of orthopedics, radiography, tissue engineering, and other areas related to bone are discussed in detail. It covers tissue engineering methods for bone regeneration and investigates the use of AI tools in this area, emphasizing the value of deep learning and how to use AI in tissue engineering efficiently. The book also covers diagnostic and prognostic uses of AI in orthopedics, such as the diagnosis of disorders involving the hip and knee as well as prognoses for therapies. Chapters also look at MRI, trabecular biomechanical strength, and other methods for diagnosing osteoporosis. Other issues the book examines include several uses of AI in pediatric orthopedics, 3D modeling, digital X-ray radiogrammetry, convolutional neural networks for customized care, and digital tomography. With information on the most recent developments and potential future applications, each chapter of the book advances our understanding of how AI might be used to diagnose and treat bone problems. Audience This book will serve as a guide for orthopedic experts, biomedical engineers, faculty members, research scholars, IT specialists, healthcare workers, and hospital administrators.

The main goal of this book is to explore the application of 3D printing in medicine and healthcare that could revolutionize drug development and medical equipment production and also improve supply chains, pharmaceuticals, and healthcare. In the fields of medicine, pharmaceuticals, surgical planning, and personalized medical treatment, the novel emergence of 3D printing technology has opened a wide range of potential applications. With personalized solutions that were previously impossible, 3D printing has opened up novel possibilities in patient care, from developing unique medications to manufacturing prosthetics and implants that are particular to each patient. The 14 chapters in this volume present the reader with an array of subjects including: the evolution and background of 3D printing, charting its extraordinary path from its inauspicious origins to its current significance in the field of healthcare. Also discussed are the many kinds of 3D printers that are employed in additive manufacturing, as well as how they are modified for usage in medical settings;the current developments in medical science brought about by 3D printing technology, including the clinical uses of 3D printed models in different medical domains, ranging from cardiovascular illness to tumors, and congenital heart disease;personalized medicine and the creation of dosage forms utilizing 3D printing methods, the benefits and drawbacks of various 3D printing technologies and the applications of these technologies in healthcare, including the creation of immediate-release tablets, capsules, and implants for a range of illnesses;the possibilities of 3D printed anatomical models for surgical planning, the roles of 3D printing technologies that are used to produce surgical guides, knee implants, spinal implants, and other patient-specific applications;the current developments in 3D printed medication delivery devices including regulatory concerns;the field of personalized medicine using 3D printing, and discusses organ models for preoperative diagnostics, permanent non-bioactive implants, local bioactive and biodegradable scaffolds, and direct printing of tissues and organs;the different specialized uses of 3D printing in the medical field, covering topics including hospital management and administration, surgical training for urological operations, ophthalmology, and preserving safety and efficacy in point-of-care.AudienceThe book will be widely read by all healthcare professionals, biomedical engineers, researchers, and graduate students who are seeking to expand their knowledge of efficient techniques of 3D printing technology in the healthcare sector.

The book explores the intersection of laser technology and healthcare, highlighting its applications, challenges, and potential future in medical practice. Implementing cutting-edge technologies has upended the paradigms of diagnosis and treatment in the ever-changing world of healthcare. Among these breakthroughs, the introduction of laser therapy stands out as a transformative moment, presenting a tremendous range of possibilities across a wide range of medical areas. This book is the outcome of considerable research, combined experience, and a passionate study of lasers’ diverse uses in modern medicine. This thorough book navigates the complex field of laser physics, clinical applications, and novel treatment interventions that are transforming the healthcare sector. This book acts as a roadmap through the various aspects of laser-based diagnostics and treatment modalities, from the basic chapters that explain the fundamentals of laser physics and its significant effects on tissues to the in-depth investigation of laser surgery in modern healthcare, including a variety of medical operations, such as brain surgery, cardiovascular procedures, dermatology, and oral surgery. Each chapter focuses on a different aspect of laser therapy, emphasizing its critical role in the treatment of many medical problems, from neurological disorders to oncology, dentistry, wound healing, and more. The book also includes an in-depth discussion of laser therapy’s classification, processes, clinical uses, and safety considerations. Audience The book is intended for researchers, scientists, medical specialists, and industry engineers in various disciplines including biomedical sciences, biotechnology, microbiology, biochemistry, immunology, pharmacy and pharmaceutical sciences, bioinformatics, translational research, oncology, medical sciences.

The book gives comprehensive insights into the cutting-edge intersection of computational methods and neuropharmacology, making it an essential resource for understanding and advancing medication for neurological and psychiatric disorders. Computational Neuropharmacology is an in-depth exploration of the convergence of computational methods with neuropharmacology, a science concerned with understanding pharmacological effects on the nervous system. This volume explores the most recent breakthroughs and potential advances in computational neuropharmacology, providing an extensive overview of the computational tools that are transforming medication discovery and development for neurological and psychiatric illnesses. Fundamental principles of computational neuropharmacology, descriptions of molecular-level interactions and their consequences for modern neuropharmacology, and an introduction to theoretical neuroscience are highlighted throughout this resource. Additionally, this study addresses computational attitudes in counseling psychology to improve therapeutic procedures through data-driven insights. Computational psychiatry uses computational technologies to bridge the gap between the molecular basis and clinical symptoms of psychiatric diseases. This volume covers computational approaches to drug discovery in neurohumoral transmission and signal transduction, Parkinson’s disease, epilepsy, and Alzheimer’s disease, and the use of molecular docking and machine learning in drug development for neurological disorders. It also discusses the use of computational methods to uncover potential treatments for autism spectrum disorder, depression, and anxiety. Audience This book is a valuable resource for computer scientists, engineers, researchers, clinicians, and students, providing a detailed understanding of the computational tools that are changing the developing field of neuropharmacology, leading the future of medication discovery and development for neurological and psychiatric illnesses by combining modern computational approaches with neuropharmacological research.

This book presents the fundamentals of explainable artificial intelligence (XAI) and responsible artificial intelligence (RAI), discussing their potential to enhance diagnosis, treatment, and patient outcomes. This book explores the transformative potential of explainable artificial intelligence (XAI) and responsible AI (RAI) in healthcare. It provides a roadmap for navigating the complexities of healthcare-based AI while prioritizing patient safety and well-being. The content is structured to highlight topics on smart health systems, neuroscience, diagnostic imaging, and telehealth. The book emphasizes personalized treatment and improved patient outcomes in various medical fields. In addition, this book discusses osteoporosis risk, neurological treatment, and bone metastases. Each chapter provides a distinct viewpoint on how XAI and RAI approaches can help healthcare practitioners increase diagnosis accuracy, optimize treatment plans, and improve patient outcomes. Readers will find the book: explains recent XAI and RAI breakthroughs in the healthcare system;discusses essential architecture with computational advances ranging from medical imaging to disease diagnosis;covers the latest developments and applications of XAI and RAI-based disease management applications; demonstrates how XAI and RAI can be utilized in healthcare and what problems the technology faces in the future. AudienceThe main audience for this book is targeted to scientists, healthcare professionals, biomedical industries, hospital management, engineers, and IT professionals interested in using AI to improve human health.

The book serves as an essential resource that examines the transformative potential of the metaverse and digital twin technology, highlighting their role in revolutionizing patient care. Metaverse-Based Digital Twins: Specialized Healthcare Applications is a comprehensive guide providing knowledge of the metaverse and digital twin concepts and their potential applications in several healthcare domains. The metaverse is an emerging technology that could facilitate the exploration of innovative approaches to patient care and foster their advancement. The novel metaverse-driven digital twin is a cutting-edge instrument for enhancing medical treatment. The Metaverse facilitates sophisticated and improved medical procedures through patient appointments and examinations using augmented reality (AR) and virtual reality (VR) technologies, avatar-based treatment of patients, and use in surgical clinics. This volume will provide an innovative and pioneering exploration of the most recent advancements in metaverse-based digital technology and its implications across multiple domains within the healthcare industry for students pursuing medicine and engineering and established professionals looking to innovate in these fields. Readers will find this book: Explores recent progress in healthcare administration using Metaverse-based digital twin technology that enables new discoveries in the healthcare industry;Introduces innovative technology that can effectively tackle the diverse challenges faced in the pharmaceutical and healthcare industries;Offers a thorough account of current advancements in technology and their ethical and equitable application in the healthcare industry.Audience Computer scientists, engineers, research scholars, medical practitioners, students, and healthcare managers working with computer interfaces to improve patient care.

Equip yourself to preempt the next global health disaster by mastering the cutting-edge molecular insights and One Health frameworks essential for decoding norovirus’s genetic complexity and pandemic potential. Recently, there has been a global surge in infectious diseases, including norovirus, which is responsible for millions of gastroenteritis cases annually. Despite its tremendous impact, studying norovirus has been difficult due to its discrete nature, genetic complexity, and limited in vitro replication. However, recent advances in virology, epidemiology, and molecular biology have offered more information about norovirus dynamics and its pandemic potential. This book provides an in-depth discussion of norovirus, a major contributor to global gastroenteritis outbreaks, and its deeper implications for pandemic research. To provide useful insights into norovirus control, prevention, and future challenges, the book explores virology, transmission dynamics, environmental factors, and state-of-the-art research. With emphasis on the crucial role of norovirus in gastroenteritis outbreaks and its genetic makeup in determining its pathogenicity and epidemiology, the book presents an explanation of viral storms and their effects on world health. The book includes a thorough analysis of zoonotic transmission mechanisms, environmental factors including temperature and rainfall, and the public health implications of these elements. To reduce norovirus risks, the book also covers the genetic evolution of the virus and the integration of the One Health concept, which bridges the gaps between environmental, animal, and human health. Readers will find the volume: Focuses on Norovirus, providing an in-depth examination of its characteristics, transmission, and impact on human health;Explores the complex interactions between viruses, human hosts, and environmental factors that contribute to viral spread and pandemic dynamics;Offers a scientific yet narrative-driven approach to understanding infectious diseases, blending rigorous research with engaging storytelling;Examines the broader context of viral outbreaks, tracing the journey of viruses from microscopic interactions to global public health challenges;Provides insights into the mechanisms of viral transmission, outbreaks’ origins, and current prevention and control strategies.Audience Public health professionals, medical researchers, epidemiologists, healthcare workers, and academics in microbiology, virology, and infectious disease studies seeking a comprehensive understanding of viral dynamics.

The book gives invaluable insights into how artificial intelligence is revolutionizing the management and treatment of neurological disorders, empowering you to stay ahead in the rapidly evolving landscape of healthcare. Embark on a groundbreaking exploration of the intersection between cutting-edge technology and the intricate complexities of neurological disorders. Artificial Intelligence in Neurological Disorders: Management, Diagnosis and Treatment comprehensively introduces how artificial intelligence is becoming a vital ally in neurology, offering unprecedented advancements in management, diagnosis, and treatment. As the digital age converges with medical expertise, this book unveils a comprehensive roadmap for leveraging artificial intelligence to revolutionize neurological healthcare. Delve into the core principles that underpin AI applications in the field by exploring intricate algorithms that enhance the precision of diagnosis and how machine learning not only refines the understanding of neurological disorders but also paves the way for personalized treatment strategies tailored to individual patient needs. With compelling case studies and real-world examples, the realms of neuroscience and artificial intelligence converge, illustrating the symbiotic relationship that holds the promise of transforming patient care. Readers of this book will find it: Provides future perspectives on advancing artificial intelligence applications in neurological disorders;Focuses on the role of AI in diagnostics, delving into how advanced algorithms and machine learning techniques contribute to more accurate and timely diagnosis of neurological disorders;Emphasizes practical integration of AI tools into clinical practice, offering insights into how healthcare professionals can leverage AI technology for more effective patient care;Recognizes the interdisciplinary nature of neurology and AI, bridging the gap between these fields, making it accessible to healthcare professionals, researchers, and technologists;Addresses the ethical implications of AI in healthcare, exploring issues such as data privacy, bias, and the responsible deployment of AI technologies in the neurological domain.Audience Researchers, scientists, industrialists, faculty members, healthcare professionals, hospital management, biomedical industrialists, engineers, and IT professionals interested in studying the intersection of AI and neurology.