Skip to main content

Books in Life sciences

571-580 of 14737 results in All results

Targeting Signaling Pathways in Solid Tumors Part B

  • 1st Edition
  • Volume 386
  • May 23, 2024
  • Sumit Mukherjee + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 2 3 5 4 8 - 1
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 5 4 9 - 8
Targetting Signaling Pathways in Solid tumour Part B, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

Biological Insights of Multi-Omics Technologies in Human Diseases

  • 1st Edition
  • May 23, 2024
  • Aarif Ali + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 9 7 1 - 7
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 9 7 0 - 0
Biological Insights of Multi-Omics Technologies in Human Diseases provides detailed information about the basics of multi-omic technologies, including ethics, historical perspective, science, drug discovery, and development and metabolism. With a strong focus on the practical application of omics approaches in cancer, cardiovascular, neurology, respiratory, viral, gastroenterology, autoimmune diseases, PCOS and tuberculosis, this book also includes special topics related to COVID-19 and Machine learning approaches. In 13 chapters, this book provides comprehensive coverage of the challenges and opportunities facing the therapeutic implications of multi-omics from academic, regulatory, pharmaceutical, socio-ethical, and economic perspectives.The chapters are designed in a well-defined chronology such that readers will intuitively understand the central idea. This book is an ideal resource for health professionals, scientists and researchers, nutritionists, health practitioners, students, and all those who wish to broaden their knowledge in the allied field.

Regulatory T cells and Autoimmune Diseases

  • 1st Edition
  • May 22, 2024
  • Mitesh Kumar Dwivedi + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 9 4 7 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 9 4 8 - 2
Regulatory T Cells and Autoimmune Diseases addresses recent findings concerning the role of Tregs in the pathogenesis of autoimmune diseases as well as their therapeutic applications. In particular, this book deals with various Treg-based mechanisms that can lead to autoimmune disease and covers different aspects linking Tregs with autoimmune mechanisms involved in disease development by discussing animal models and human studies.This book specifically focuses on Treg-based therapeutics and their targets to manage all known autoimmune rheumatic, central nervous system, bowel, liver, thyroid, kidney, myopathic, skin, blood and blood vessel, and eye diseases and aims to provide a must-have reference for designing therapeutic strategies to treat these autoimmune diseases. Additionally, this book covers vaccine-induced effects on the functioning of Tregs and development of CAR Treg therapy for autoimmune diseases and concludes with current challenges and future prospects of Treg-based therapeutics. This book is carefully designed to meet the requirements of both basic and advanced researchers in the area and provide new dimensions and insight into regulatory T cells’ role in autoimmune disease pathogenesis and therapy.

Brains and Machines: Towards a unified Ethics of AI and Neuroscience

  • 1st Edition
  • Volume 7
  • May 22, 2024
  • Marcello Ienca + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 1 5 8 6 9 - 8
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 8 7 0 - 4
Brains and Machines: Towards a unified Ethics of AI and Neuroscience provides a comprehensive overview of concepts and ethical issues at the intersection of two emerging technological trends in the 21st century: AI and neurotechnology. In line with recent advances across both fields, debates about philosophical, ethical, regulatory and social issues raised by neuroscience and AI have considerably expanded in the past decade. Yet, despite many intersections and fruitful interactions between the two scientific domains, ethical debates about neuroscience and AI have mostly moved in parallel. This volume assembles voices from various disciplines to provide a more unified view and offer novel perspectives on two complementary lines of discourse. The volume provides scientific background by outlining the state of the art of applying AI in the field of neuroscience and discussing instances where findings and debates from neuroscience provide cues and inspiration to the study of AI. Based on this background, the book then addresses conceptual frameworks, identifies ethical challenges at the intersection of neuroscience and AI, and highlights challenges and opportunities of finding common ground in interdisciplinary settings.

New Approach for Drug Repurposing Part A

  • 1st Edition
  • Volume 205
  • May 22, 2024
  • Vijai Singh
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 2 2 3 3 8 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 2 3 3 9 - 6
New approach for drug repurposing represents drug discovery and development which is a tedious process that requires 10-15 years of time, investments up to $1-2 billion, and have high risk of failure to enter into market for clinical applications. As the drugs has to pass through number of developmental phase, the likelihood for a drug to be approved from phase I clinical trial to United States of Food and Drug Administration (USFDA) approval is less than 10%. More than 90% of drugs failed in due to toxicity, efficacy and clinical trials. Drug repurposing is one of the roadway to accelerating drug discovery and development for treating disease and thus to providing better quality of life. This volume covers an overview of drug repurposing, novel methods, mechanism of action, lab on chip for drug repurposing, computational biology, system biology, artificial intelligence and machine learning for drug repurposing, target identification, target mining, high throughput drug screening, clinical trial of repurposed drug, repurposed biologics, and regulatory consideration and intellectual property right of repurposed drug. This volume highlights a number of aspects of the drug repurposing that can help the basic understanding of students, researchers, clinicians, entrepreneurs, and stakeholders to perform their research with great interest.

Pictorial Atlas of Neuroradiological Signs

  • 1st Edition
  • May 22, 2024
  • Athena Sharifi-Razavi + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 5 2 8 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 5 2 9 - 0
Pictorial Atlas of Neuroradiological Signs examines various brain scans in order to create a useful guide for clinicians and students. Using images of diseases and other conditions, this atlas is designed to identify various signs as well as explain what the underlying reason for the presentation of such anomalies on brain scans and images. This book will be most useful to clinicians in neurology and students who are studying neuroradiology. Those with an interest in various branches of neuroscience or radiology might also find this book a useful tool.

Banana Peels Valorization

  • 1st Edition
  • May 21, 2024
  • Mejdi Jeguirim + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 9 5 9 3 7 - 7
  • eBook
    9 7 8 - 0 - 3 2 3 - 9 5 9 3 8 - 4
Banana Peels Valorization: Sustainable and Eco-friendly Applications provides a global overview of world production, physicochemical and microbiological characteristics of Banana Peels and the various pathways for their valorization, considering the advantages, disadvantages and factors impacting on each way of valorization. Each chapter deals with sustainable applications based on the sector category. Such structure helps the audience from a specific field to easily identify the specific application. Successful case study of a banana processing by-products valorization is also presented. Written by a team of interdisciplinary experts, this is the ultimate valuable resource for agricultural or food engineers who work in the banana groves and in the banana processing industry, and also for Researchers working in correlated areas of food, environmental and energy fields.

Pharmacology in Drug Discovery and Development

  • 3rd Edition
  • May 21, 2024
  • Terry P. Kenakin
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 4 1 2 4 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 4 1 2 5 - 6
Pharmacology in Drug Discovery and Development: Understanding Drug Response, Third Edition is an introductory resource that illustrates how pharmacology can be used to furnish the tools necessary to analyze different drug behavior and trace this behavior to its root cause or molecular mechanism of action. Chapters logically build upon one another to show how to characterize the pharmacology of any given molecule and allow for more informed predictions of drug effects in all biological systems. New chapters are dedicated to the interdisciplinary drug discovery environment in both industry and academia, and special techniques involved in new drug screening and lead optimization.The updates to the Third Edition include a new section converting “descriptive” data into “predictive” data through comparison to mathematical models, expansion on enzymes, drug metabolites and drug–drug interactions, and two new chapters. The newly developed companion website hosts further educational resources to complement the book. As in previous editions, this new edition includes numerous valuable chapter summaries, detailed references, practical examples, and case studies throughout.

Neuroscience Without Representations

  • 1st Edition
  • May 21, 2024
  • Óscar Vilarroya
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 9 0 6 5 - 0
In Neuroscience Without Representations, an Open Access book, Oscar Vilarroya addresses the notion of “representation” as used in expressions like “neural representation” or “mental representation”. This concept is fundamental in neuroscience, yet there remains no clear, universally accepted view on what it means for a nervous system to represent something, what constitutes a neural activity as a representation, and what is being re-presented.The book lays the foundation for a non-representational view of brain function. Building upon György Buzsáki’s critique of the theoretical framework underlying current cognitive neuroscience, Vilarroya argues that disciplines such as embodied and embedded cognition—collectively known as ‘4E cognition’—are driving a paradigm shift in our understanding of animal cognition.Rather than grounding cognition solely in representations, the author proposes an alternative: understanding cognition as enaction—the meaningful engagement of an organism to address situational requirements. The book supports this approach through detailed analyses of recent studies.

Advances in Artificial Intelligence

  • 1st Edition
  • May 21, 2024
  • Kunal Pal + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 9 0 7 3 - 5
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 5 3 9 2 - 1
Artificial intelligence in healthcare has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals, such as electrocardiogram (ECG/EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, and nerve conduction, and for bio-imaging modalities, such as computed tomography (CT), cone-beam computed tomography (CBCT), and MRI (magnetic resonance imaging). Advancements in artificial intelligence and big data have increased the development of innovative medical devices in healthcare applications. Advances in Artificial Intelligence: Biomedical Engineering Applications in Signals and Imaging provides an overview of arti­ficial intelligence in biomedical applications, including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in the biomedical ­ eld, including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, and develop AI-based medical devices.