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Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine - Couverture rigide

 
9781668494639: Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine

Synopsis

The multidisciplinary applications of natural science in drug discovery are essential for identifying and developing new drugs and represent a promising area of research. Drug discovery is a complex and challenging process that involves multiple disciplines, including biology, chemistry, pharmacology, and medicine. One of the most interesting areas of drug discovery is using natural science, which involves the study of natural products and their potential therapeutic benefits, in which the research literature has previously been lacking appropriate attention. Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine is a research book that bridges the gap between traditional and natural science approaches to identify new drug molecules in treating various diseases. The book focuses on allopathic and complementary medicine. It takes a cross-disciplinary examination of biology, chemistry, pharmacology, mathematics, physics, and medicine. This book is suitable for researchers, post-doctoral fellows, graduate students, and post-graduate students interested in exploring natural science's multidisciplinary applications in drug discovery and integrative medicine.

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À propos des auteurs

Muhammad Shahzad Aslam stands out as an elite 1% top reviewer, as per Web of Science, for the years 2017, 2018, and 2019 in the domains of multi-discipline, cross-discipline, and clinical medicine, respectively. His contributions extend to the realm of academic editing, where he has served as an honorary academic editor for various journals, accumulating over 8 years of experience in peer review and academic editorial roles. As an esteemed author and editor, Dr. Shahzad Aslam has lent his expertise to four impactful Books: "Cases on Teaching Pharmacology to Complementary and Alternative Medicine Students," "Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine," "Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices," and "Workplace Cyberbullying and Behavior in Health Professions." Presently, Dr. Shahzad Aslam serves as an Assistant Professor in the School of Traditional Chinese Medicine at Xiamen University Malaysia. His academic journey includes obtaining a Ph.D. from the School of Bioprocess Engineering, Universiti Malaysia Perlis (UniMAP), where he focused on natural product chemistry. His pursuit of knowledge was supported by a prestigious scholarship from the Ministry of Higher Education (MOHE), Malaysia, under the Malaysian International Scholarship (MIS). Prior to his current position, Dr. Shahzad Aslam earned a Master of Philosophy degree in Pharmaceutical Chemistry from Bahauddin Zakariya University, Pakistan, and a Doctor of Pharmacy degree (Pharm.D.) from Baqai Medical University, Pakistan. Commencing his career in the pharmaceutical industry as a production supervisor and quality control analyst, he transitioned into academia in 2013 when he assumed the role of a lecturer at Lahore Pharmacy College, Pakistan. Here, he imparted knowledge in pharmaceutical chemistry, instrumentation, and organic chemistry. His academic journey further includes roles as an Assistant Professor at Rashid Latif College of Pharmacy and Ziauddin University after the completion of his Ph.D. Dr. Shahzad Aslam's research endeavors have focused on metabolomics analysis, fragmentation analysis of bioactive compounds, polyherbal formulations, and their interactions in wound healing. His specialized areas of expertise encompass phytochemistry, Pharmacognosy, green extraction techniques, wound healing studies, animal modeling, novel plant extraction methods, sustainable solvents, and Public health.

M. Ahmad is working as a Professor at Department of Mathematics, Physics, & Statistics at the University of Guyana in Georgetown.

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