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Special Issue
Personalized genomic medicine:
challenges and opportunities for the diagnosis and the
treatment of human disease
Guest Editor:
Prof. Sheng-Ying Qin, Ph.D.
Bio-X Institutes, Shanghai Jiao
Tong University, China
Email: chinsir@sjtu.edu.cn
Special Issue Introduction
Personalized medicine understands the disease with molecular
perspectives, which has brought new classication systems and more
effectively preventive and therapeutic interventions. It seeks to
precisely categorize disease and subtypes of disease, such that
applicable treatments can be improved to a patient's distinctive
molecular prole and physiology. Pharmacogenomics plays a crucial
role in an evolving model of personalized medicine. It is well known that
response to medications and side effects are different in every single
patient. The inter-individual variability seems to explain these
differences which are mainly based on the individual genomic
sequence. It possesses the potential that treatment will be tailored to
each individual patient in the future. Although genomic testing is still a
relatively new development in clinical treatment, this eld is expanding.
The special issue in Personalized Genomic Medicine focused on the
studies about genetics, genomics, pharmacogenomics etc., which
may improved the efcacy and safety of individualized clinical
treatment. This special issue welcomes submitted articles in the form of
original research, reviews and evaluations of discoveries about
personalized medicine.
Benets
Rigorous mechanism in peer review: one manuscript must be
reviewed by at least two relevant experts. We will endeavour to
ensure high standards for the review process and subsequent
publication by a team of efcient and professional reviewers and
scientic editors.
No publication fee: there would be absolutely no charge for
publication.
Rapid publication: we will do our best to ensure that accepted
papers will be published rapidly with a high quality.
Open Access: As an author you will retain the copyright to your work.
By licensing your work under the Creative Commons Attribution
License, articles can be re-used and re-distributed without restriction,
as long as the original work is correctly cited.
Wide promotions: Published articles will be promoted at academic
conferences, through social networks for scientists and relevant
indexing services.
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