Swati Verma – författare

Decontamination of Subsurface Water Resources System using Contemporary Technologies provides a comprehensive approach to addressing the decontamination of subsurface water resources. It covers field experimentations, modelling strategies, remote-sensing methods, and the application of artificial intelligence.This broad coverage ensures that readers gain a well-rounded understanding of the topic. Purchasing this book offers a unique opportunity to access up-to-date, comprehensive, and scientifically grounded insights into subsurface water decontamination. This book will inform the student, researcher, policymaker, or industry practitioner and contribute to positive change in the field of water resource management.Includes up-to-date assessment tools for water quality evaluation and advanced modelling techniquesContains unique resources on the restoration of surface water resources, with step-by-step analysis to guide studentsCovers theory and practice by offering global case studies with applicationsOffers thorough overview of Machine Learning (ML)/Artificial Intelligence (AI), GIS and remote sensing, and sensors application to achieve sustainable groundwater management

With the population getting older and with a corresponding increase in neurodegenerative diseases (NDs) worldwide, developing drug delivery systems that can overcome conventional barriers in treating these diseases is the need of the hour. Drug delivery by nanotechnology has great promise for detecting and treating a wide range of neurodegenerative conditions. This new book provides an informative overview of the cutting-edge applications of various nanocarriers that encapsulate active compounds to effectively treat NDs.

“Of immense use as the authors highlight the overall ethnography of big pharma in the healthcare sector, with the opportunities and challenges in the outside world. . . . Readers will have a picture of the marketing strategies to be adopted to boost the pharmaceutical business.” —From the Foreword by Dhruv Galgotia, CEO, Galgotias University, Greater Noida, IndiaWith particular emphasis on modeling, methodologies, data sources, and application to real-world dilemmas, this new book provides an overview of the pharmaceutical marketplace, discussing pharmacoeconomics in pharmaceutical manufacturing, pharma policy and management, pharmaceutical marketing strategies, the economics of clinical trials for drugs, the role of patents in economic development, and much more.

This new book offers vital insights into the use of data analytics in social media for effective communication for health promotion and illness prevention and for healthcare information security, harnessing the power of data mining tools and techniques, artificial intelligence, and other advanced technologies.The book discusses collecting information intelligently from social media, which has sparked the interest of the biomedical and health informatics communities. It shows how using consumer-generated data can improve the effectiveness of public health messages as well as for better healthcare outcomes while cutting costs. It looks at data mining and analytic tools with deep and machine learning technologies for the development of effective communication strategies, for the early detection of health conditions, for using social media for health promotion and disease prevention messages, and more.The book covers digital issues in healthcare, such as cybersecurity threats and provides useful ways to manage these risks. It also looks at how mental health is portrayed in the media and the strength of social media activism movements, as seen by the #Stoptrolling movement. The COVID-19 epidemic highlighted the significance of clear, accurate, and timely communication in healthcare, and this book investigates how social media platforms played a critical role in sharing critical information during this worldwide disaster.Intelligent Data Analytics in Media Communication to Improve Public Health Care provides a thorough and forward-thinking study of using today advanced technology for improving healthcare via the creative use of social media and technology.

We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management.This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology, challenges and application of big data in cancer therapy.Recent developments in the fields of artificial intelligence, machine learning, medical imaging, personalized medicine, computing and data analytics for improved patient care.Description of the application of big data with AI to discover new targeting points for cancer treatment.Summary of several risk assessments in the field of oncology using big data.Focus on prediction of doses in oncology using big dataThe most targeted or relevant audience is academics, research scholars, health care professionals, hospital management, pharmaceutical chemists, the biomedical industry, software engineers and IT professionals.