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@AI4Pathology 2 years ago
Our new @natBME short paper demonstrates utility and identifies key challenges associated with using #synthetic data in #MachineLearning and #AI for medicine. Read link: https://rdcu.be/cmAfk Journal link: https://go.nature.com/3wtgSDr @richarizardd95 https://t.co/igwJTa8EZj
@PawlowskiMario 4 years ago
#Artificialintelligence identifies previously unknown features associated with #cancer recurrence HT @MargaretSiegien #AI #healthtech #ML #Machinelearning #Tech #deeplearning #MI @Nicochan33 @Ronald_vanLoon @HaroldSinnott @kuriharan https://medicalxpress.com/news/2019-12-artificial-intelligence-previously-unknown-features.html via @medical_xpress
@_INPST 6 years ago
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation http://inpst.net/machine-learning-identifies-stemness-features-associated-with-oncogenic-dedifferentiation/ #INPST #Science #Health #Diet #Nutrition #Chemistry #News #Metabolism #Medicine #Pharmacy #SciComm #Cancer #Tumor #Oncology #MachineLearning #Stemness #StemCells https://t.co/ctWBgu8JbC