Divya Singh – författare

Evolutionary Diversity as a Source for Anticancer Molecules discusses evolutionary diversity as source for anticancer agents derived from bacteria, algae, bryophytes, pteridophytes, and gymnosperms. The book goes over the isolation of anticancer agents and the technologyenabled screening process used to develop anticancer drugs. The book also includes discussion of the nutraceuticals and natural productsderived from invertebrates that can be used as part of cancer treatment.

Evolutionary Diversity as a Source for Anticancer Molecules also deals with some of the current challenges in the prevention of cancer as well as the side effects of conventional drugs used for cancer patients.This book is a valuable resource for cancer researchers, oncologists, biotechnologists, pharmacologists, and any member of the biomedicalfield interested in understanding more about natural products with anticancer potential.

Discusses the application of natural products in place of conventional drugs to minimize the side effects in cancer treatment Explains the relation between evolutionary mechanisms and climate change for production of secondary metabolites

Xenobiotics in Chemical Carcinogenesis: Translational Aspects in Toxicology covers the translational toxicology of xenobiotics substances in carcinogenesis by explaining the toxicokinetic and toxicodynamic, toxicogenomic, biotransformation, and resistance mechanisms in the human body. The book begins with a historical review and link to future prospects for chemical carcinogenesis. It discusses major environmental xenobiotics and their risks in inducing cancer, along with content on toxic xenobiotics and their routes of exposure in humans, the role of xenobiotic metabolism in carcinogenesis, and the toxicokinetic and toxicodynamic of xenobiotics in cancer development.

Lastly, the book explores current achievements such as using toxicogenomics for predicting the carcinogenicity of xenobiotic substances and the challenges posed by carcinogenic xenobiotic substances when examining preventive methods, diagnosis, and the development of anticancer drugs for specific toxicants.

Covers the exposure and transmission of various toxic xenobiotics substances, including nanomaterials, to humans and their interaction with specific tissues in precipitating the development of cancers Unravels the toxicokinetic and toxicodynamic processes of toxic xenobiotics in bioaccumulation Examines the genetic aberrations in cancer genomes by genetic-environmental interactions in carcinogenesis Explains the biotransformation mechanisms of toxic xenobiotics by gut microbes in humans

Drug-delivery Systems of Phytochemicals as Therapeutic Strategies in Cancer Therapy elucidates the importance of various phytochemicals in cancer therapy and explains various routes/methods to deliver phytochemicals for overcoming the problems associated with delivery systems in cancer treatment. Several nanotechnological methods are presented to enhance drug solubility, sustainability, bioavailability, and gastrointestinal permeability of these phytochemicals. Current understanding of the relevant information presented on therapeutic strategies in cancer therapy fulfils the requirements of oncologists, molecular biologists, pharmacologist and related researchers who want to work in the areas of drug development targeting phytochemicals for cancer therapy.

Explains the significance of phytochemicals in cancer therapy, along with their pharmacologic actionElucidates the importance of various phytochemicals in cancer therapyExplains the emerging need of drug-delivery system for plant metabolitesDeciphers the various drug-delivery systems for phytomedicines involved in cancer treatmentsDescribes the crucial role of nanotechnology in the development of drug-delivery systems for anticancer phytochemicalsExplores the challenges associated with developing drug-delivery systems for phytochemicals to cure cancer

Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare provides an overview of various machine learning and deep learning techniques, addressing the needs of patients and the necessity for medical aid at early stages of disease. The book reviews, analyzes, and compares the different methodologies utilized for the prediction and detection of diseases. In addition, it explores the possible deployment of these advancements in medical systems, from paper to practice. With the advent of technology, tele consultation, telemedicine, and mobile health care, it is now possible to provide continuous monitoring of the health of patients.This title fulfills the needs of connected healthcare systems, providing insights into the role of Artificial Intelligence in the prognosis, diagnosis, and analysis of several diseases. It will be a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the challenging field of artificial intelligence in medical systems and diseases.Provides a wide range of coverage for various prediction and segmentation algorithms that are based on machine learning and deep learning technologyCovers various predictive and segmentation algorithms exploited by various medical personnel to improve the accuracy of treatment to the patientsHighlights improvements in quality and efficiency of medical decision-making in the early detection of critical diseases using AI

This book compiles a diverse and interdisciplinary range of scientific literature, laboratory developments, industrial implications and future prospects covering Entomophagy in 3D food printing to fight against hunger and nutritional deficiencies.

This book compiles a diverse and interdisciplinary range of scientific literature, laboratory developments, industrial implications and future prospects covering Entomophagy in 3D food printing to fight against hunger and nutritional deficiencies.