The most impressive advances of digital pathology are found in oncology, where refined AI applications generate increasingly precise predictions on cancer outcomes. Digitisation facilitates data sharing and access to second opinions – and helps keeping the workspace clutter in check. Enjoy reading! |
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Article • Applications of machine learningTraining AI to predict outcomes for cancer patientsPredicting cancer outcome could help with a clinical decision regarding a patient’s treatment. In his keynote speech during the online ‘7th Digital Pathology and AI Congress: Europe’, Johan Lundin, Research Director at the Institute for ... |
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