Overview

Metabolomics: A Path Towards Personalized Medicine integrates environmental factors of genomics, transcriptomics and proteomics, providing a bridge to resolve gaps between fundamental science and applications in clinical medicine and population health. The concept of personalized medicine or precision medicine is of great interest in biomedical research as it helps bring about new drug discovery and biomarker identification. In addition, it helps clinicians prescribe the right medicine to the right person with maximum efficacy and minimum toxicity, allowing clinicians to further predict the susceptibility to disease onset of vulnerable populations. The book is ideally suited for researchers and postgraduate students who are interested in clinical and non-clinical studies where metabolites are used for the identification of disease and therapeutic targets.

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9780323999243

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Dr. Mahbuba Rahman earned her B.Sc. (Honors), M.Sc in Microbiology and an M.S. in Environmental Science. She completed her PhD in Metabolic Engineering from the Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Japan. Post Ph.D., she worked with a transgenic mice model of Smith–Lemli–Opitz syndrome, which is an inborn error of cholesterol synthesis, at Children’s Hospital Research Institute (CHORI), Oakland, California. Mahbuba has published several research articles including clinical and non-clinical research in high-impact factor journals. She also authored multiple review articles and book chapters in high-impact journals and with well-known publishers. She is also an editor of an eBook on cancer immunotherapy and an editor of a hard copy book on Metabolomics A Path Towards Personalized Medicine. She is also a special topic editor and guest editor in Frontiers in Genetics, Frontiers in Immunology, and in Journal of Microbiological Methods. At present, she is an Adjunct Assistant Professor at the Department of Biology, at McMaster University. She is investigating the role of global regulators in pathogenic and non-pathogenic microorganisms using systems biology approaches.

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