Dhruv Kumar – författare

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.

Autophagy and Metabolism: Potential Target for Cancer Therapy presents updates on autophagy in cancer metabolism and how it can be used to develop new, more efficient treatments. Written by experts in the field, the book presents recent research and explains how to translate it to the clinical setting. Sections discuss tumor cell metabolism and autophagy as therapeutic targets, autophagy regulation in cancer, signaling pathways in metabolic dysregulation in solid tumors, metabolic stress and cell death pathways, and the role of the tumor microenvironment. In addition, topics cover combined targeting autophagy, metabolism for cancer therapy, and the autophagy effect on immune cell metabolism.

This will be a valuable resource for researchers, oncologists, graduate students, and members of the biomedical field who are interested in learning more about the interaction between autophagy and cancer metabolism.

This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 7–9, 2023.

The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: ​Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri.