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
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
Data science and ML have not been able to answer many of the questions relating to covid 19. We need data most importantly about how it spreads. The medical authorities need to collect more detailed information from patients via a survey. #DataScience #covid19 #analytics
The 9:1 gender imbalance in autoimmunity: A fascinating answer to an enduring medical mystery #SNRTG #DataScience #Scicomm #Meded #autoimmune #immunology #Lupus #genomics #RareDisease Article: https://eurekalert.org/pub_releases/2019-04/mm-u-dmh041819.php Journal: https://insight.jci.org/articles/view/127291 @umichmedicine @UMich https://t.co/NxIktw4sSm
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
