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.
After raising $2.3M in a PPL (Profit Participation Loan), Kanteron Systems launches its own Investors Relations app to manage up to date information exchange.
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.
CEO Year Awards 2019 by World Biz Magazine names Kanteron Systems’ CEO, Jorge Cortell, Healthcare IT (SME) CEO of the Year 2019.
Kanteron Systems announces the publication and general availability of Kanteron’s Precision Medicine solution (including Radiology PACS-RIS, Digital Pathology, Genomics and Pharmacogenomics modules) in Microsoft’s Azure Marketplace and AppSource.
Spain’s National Cancer Research Center CNIO, the best in Europe and 4th in the world according to Nature, has invited Kanteron Systems to present at the European cooperation network in oncology ONCONET-SUDOE Workshop on Innovative IT for healthcare: “The patient journey: Information Technologies focused on the cancer patient” that will take place in the CNIO Auditorium (Madrid), April 3-4, 2019.
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