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Cancers is an international, online journal addressing both clinical and basic science issues related to cancer research. The journal will continue its open access format, which will certainly evolve to ensure that the journal takes full advantage of the rapidly changing world of information and knowledge dissemination. It publishes high-quality clinical, translational, and basic science research on cancer prevention, initiation, progression, and treatment, as well as other related topics, particularly to capture the most seminal studies in the rapidly growing area of immunology, immunotherapy, and tumor microenvironment.


Genes (ISSN 2073-4425) is an international, peer-reviewed, open access journal which provides an advanced forum for studies related to basic, translational and clinical aspects of genetics and genomics. It publishes reviews, research articles, communications and technical notes. Topics covered in Genes include but are not limited to: gene structure, gene expression, recombination and linkage, genetic mapping, monogenic and multifactorial hereditary disorders, medical genetics, gene therapy, personalized medicine, population genetics, phylogenetics, sequencing technologies and bioinformatics.


IJBNN proposes and fosters discussion on scientific and technological investigations of nanomaterials in biology and medicine, with emphasis on their biomedical implications and impacts upon the biosphere. This perspective acknowledges the complexity of biomedical nanoscience and nanotechnology as an interface between the biomedical arena and the nanosystem.


IJCBDD, an International Society of Intelligent Biological Medicine official journal, bridges the gap between two very important, complementary disciplines, computational biology and drug design. Through advances in high-throughput genome sequencing and digital imaging technologies, biocomputing, drug design and medical research have unfolded new, predictive sciences such as genomics, proteomics, lipidomics, metabolomics, cytomics and pharmaconomics. These promote new computational, statistical and biomedical approaches to drug design/development, besides unleashing the potential of significantly more accurate, effective personalised diagnosis, therapeutics and patient care.