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@ImFusionGmbH 2 years ago
Run your own #AI models in the ImFusion Suite and benefit from all its visualization features. Check out our public demo repository to learn how to do it: https://bit.ly/2XuqKk0 #medicalimaging #MachineLearning #MedTech https://t.co/8uUyETETgw
@kmborgwardt 2 years ago
Our series of "#MachineLearning in Medicine" summer schools features its 7th edition on September 20-22 this month, live and free on YouTube, with lots of exciting talks. You are welcome to tune in! https://mlfpm.eu/3rd-mlfpm-summer-school/ @MLFPM_ITN
@GIANT_health 2 years ago
️Now on stage Mr. @Sergiomediktor1 business development at @Mediktor giving a presentation about the features of the most accurate #AI-based medical assistant for #triage, #prediagnosis and decision-making support. #GIANT2021 #medical #healthcare #machinelearning #datascience https://t.co/aELqSL1Tax
@thiyangt 3 years ago
Do you want a new data package for teaching? MedLEA package provides morphological and structural features of 471 medicinal plant leaves and 1099 leaf images of 31 species and 29-45 images per species. https://github.com/SMART-Research/MedLEA #rstats #DataVisualization #dataviz #MachineLearning https://t.co/rYpyj16rTs
@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
@KirkDBorne 4 years ago
Should you trust an #algorithm to diagnose an illness? Yes, because you already do! That’s what medical school teaches — the features, characteristics, and presentation of illnesses! https://amp.cnn.com/cnn/2019/07/15/business/artificial-intelligence-healthcare/index.html —— #BigData #MachineLearning #DataScience #AI #DeepLearning #DeepMedicine https://twitter.com/kirkdborne/status/1144614354647769089
@_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