How can CERN #machinelearning algorithms be used in #healthcare? Medical Applications Officer Alessandro Raimondo reveals the answer in this article from #CERNKT. #Medtech #ArtificialIntelligence http://knowledgetransfer.web.cern.ch/news/news/knowledge-sharing/unlocking-ais-true-potential-healthcare-requires-collaboration
I just mentioned some steps / resources to learn #MachineLearning and #DeepLearning for medical applications in answer to a nice question by @BakhshiHooman. I retweet it here for others who may also be interested. https://twitter.com/PRouzrokh/status/1603737003274735625
How do cancer cells differ from healthy cells? A new #MachineLearning algorithm knows the answer. Read more about the work of researchers at @MDC_Berlin here http://ow.ly/AIqf50JvFq6 #CancerResearch #Bioinformatics #Medicine
The Question Medical AI Can’t Answer: It’s unable to tell us why it came to a particular decision—and that’s crucial information https://www.scientificamerican.com/article/the-question-medical-ai-can-rsquo-t-answer/ #artificialintelligence #machinelearning #bioinformatics
Second consecutive prize win for Team Stochastic!🥳 Challenge: Designing and developing an AI Chatbot to answer regular and personal medical queries. Team : @arghyadeepdas99 @nachiketbhuta @techno_disaster Medium Article: https://bit.ly/35VGE88 #AI #MachineLearning #vuejs https://t.co/6SYaG1AlJc
Great question from a medical student from Spain at #xMed to Ray Kurzweil "What area should I specialize in?"Ray's answer: ✔Learn data science.✔Think holistically across body systems, not narrowly. #AI #MachineLearning https://t.co/Iuxvzv32mJ
