Molecular Epidemiology is a dynamic field that merges traditional epidemiology with molecular biology to scrutinize the genetic and molecular factors influencing disease patterns in populations. By examining the molecular markers within individuals, researchers gain insights into the origins, transmission, and progression of diseases. This approach helps identify genetic variations associated with susceptibility, prognosis, and response to treatments. Utilizing techniques such as DNA sequencing and genotyping, Molecular Epidemiology enables a deeper understanding of disease mechanisms, aiding in the development of targeted prevention and intervention strategies. It has proven particularly valuable in infectious disease research, allowing for the tracking of microbial strains and the identification of sources of outbreaks. Additionally, in chronic diseases, Molecular Epidemiology contributes to personalized medicine by tailoring treatments based on an individual's genetic makeup. The integration of molecular techniques into epidemiological studies enhances precision and provides a more comprehensive picture of the complex interactions between genetic, environmental, and lifestyle factors. Molecular Epidemiology plays a pivotal role in public health by elucidating the intricate relationships that underlie disease occurrence and progression, ultimately paving the way for more effective preventive measures and therapeutic interventions.
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David John Wortley, International Society of Digital Medicine (ISDM), United Kingdom
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Sergey Suchkov, National Center for Human Photosynthesis, Mexico
Title : Managing integration and interoperability of intelligent and ethical transformed health and social care ecosystems
Habil Bernd Blobel, University of Regensburg, Germany
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Zhenhuan Liu, University of Chinese Medicine, China
Title : Environmental Public Health Impact Assessment (EHIA) process for tobacco processing plants
Vijayan Gurumurthy Iyer, Techno-Economic- Environmental Study and Check Consultancy Services, India
Title : Therapeutic potential of Benincasa hispida extract in regulating metabolic markers among patients with type 2 diabetes
Wan Rosli Wan Ishak , University Science Malaysia, Malaysia