London Journal of Medical and Health Research

J: Pathology

 

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London Journal of Medical Research is an international journal for research papers and articles of various branches of medicine and its further streams. Our primary objective is to provide publication following eminent standards to researchers, scientists, professionals, and scholars.

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Acknowledgements

We are thankful to Research Councils UK (http://www.rcuk.ac.uk), Health research Authority (http://www.hra.nhs.uk/).
We respect standards of: Biotechnology & Biological Sciences Research Council (BBSRC) Medical Research Council (MRC), Natural Environment Research Council (NERC), Science and Technology Facilities Council (STFC), National Research Council (NRC), The National Academies(US) ,European Commission's Research & Evaluation , London Research Institute, MCI, Australian-European Network (AEN), Utrecht Network (UN) and PubMed.
Indexed classification system: We are thankful to Australian and New Zealand Standard Research Classification (ANZSRC): FOR and Science Council of Japan (SCJ): JRECIN Also: MeSH U.S. National Library of Medicine (https://www.nlm.nih.gov/mesh/filelist.html, http://www.nlm.nih.gov/pubs/factsheets/nlmclassif.html), The National Library of Medicine Classification (NLM Classification Online)and Medical Subject Headings (MeSH) (http://www.joshua-parker.net/coursework/LIS417/LIS417_NLMC_MeSH.pdf)

Introducing DeepReview

Artificial Intelligence Based Peer Reviewer
Meet DeepReview, our 3rd reviewer in the extensive double-blind peer-review process. It's a new generation of Artifical Intelligence that works on deep neural network of machine learning to review research papers. At London Journals Press, we follow an exhaustive process of peer-review, and each article is reviewed by at least two peer reviewers and a team of editorial board members. DeepReview acts as the third peer reviewer that can detect writing styles, plagiarism (for the second time), grammar, contextual spellings, vocabulary, and quality of the article without any human biasing
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