Flexible AI means you can choose the data set that best fits your use case, and apply it to your relevant medical images. We include a training set for Prostate Cancer as a starting point, but that’s only the beginning! The AI setting allows the user to choose the desired model from the list of all available models along with their descriptions.
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Kanteron Systems Bioinformatics department, in collaboration with scientists from several institutions (like the Medical Genomics Visualization Group, The Siimple Open-Source Organization, INCLIVA Genomics and Diabetes Unit, Diabetes and Associated Metabolic Diseases CIBER, Institute for Integrative Systems Biology I2SysBio, Sequencing Multiplex, and the Open-source software for Computational Biology group at Cambridge University) will present a paper at the III Congress of Young Researchers in Biomedicine (Conbiopreval) to be held April 24th-26th 2019, at the Prince Felipe Research Center in Valencia, Spain.
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New Multiplatform KDS

Kanteron Systems is proud to announce a multi-platform (Windows, Linux and Apple OSX) version of its KDS advanced visualization and post-processing radiology workstation
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Kanteron Systems Bioinformatics department, in collaboration with scientists from several institutions (like the University of Cambridge, Genomics England, Zetta, INCLIVA, CIPF, I2SysBio, CSIC, and CIBERDEM) will present 3 papers at the European Society of Human Genetics (ESHG19) annual meeting to be held in Gothenburg, Sweden, June 15–18, 2019.
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Kanteron Systems Bioinformatics department, in collaboration with the Computational Biology Lab at the University of Cambridge and Agile Genomics, deliver advanced clinical solution chosen by some of the largest clinical genomics projects, like Genomics England, the International Cancer Genome Consortium, or the The European Bioinformatics Institute.
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