Super glad to give a lecture @cornell_tech on using #MachineLearning and #EHR #RWD data to understand #LongCovid, covering our latest Nature Communication and Nature Medicine papers https://t.co/6K9CsXPBal
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
#queensu researcher @ProfSimsim is the @CRC_CRC in Biomedical Computing and Informatics, leveraging #MachineLearning technologies to transform how clinicians treat #cancer using a data-driven, precision medicine approach | #QueensuResearch | #WomenInSTEM https://www.queensu.ca/research/researchers/amber-simpson-0
The Pitt Brainhack @DeBurghing starts with a Guest Lecture by @amarquand on "Using #machinelearning and big data neuroscience to move toward precision medicine in #psychiatry". Their lab does very interesting and important work - join us! Latest program: https://pitt-brainhack.github.io/DeBurghing2020/ https://t.co/jqZ6rC33i4
Check out @DataInnovation's newest Data Innovator interview: @ElineCMC spoke with @UnlearnAI Founder and CEO @charleskfisher. "[We are] using the kinds of data we encounter in medicine to build new #machinelearning technologies." #AI https://bit.ly/2Caub4v
A spotlight on my collaboration with @PittVbl on using morphology and clinical data in #predicting #aaa growth! The intersection of #clinicalanalytics, #imaging and #machinelearning is the next step in personalized medicine. @UPMC_Vascular https://twitter.com/healthdatapgh/status/1214939918344044544
Johns Hopkins Medicine is tapping vast amounts of data to better predict disease progression using #Cloud and #MachineLearning: http://msft.social/lPanHu #AI @HopkinsMedicine https://t.co/OO8A0aZlxE
Random tip: if a PI publishes over 25 papers/year (more than 2 papers/month), in a heavily data- and optimization-driven research e.g. #MachineLearning in medicine, without releasing their codebase or using public libraries, be HIGHLY skeptical about their results. #phdchat
Dr. Andreas M Kogelnik, Open Medicine Institute, talking about using genomics, proteomics, and data revolution to find a cure for Lyme disease. #BigData #LymeInnovation #TippingPoint #OpenScience #Omics https://t.co/FVdT1AL3Fn
Looking forward to presenting at 9:30 AM at @Dreamforce #DF18, on Practicing Medicine More Precisely Using a Trillion Points of Data! Join us in the InterContinental Hotel Grand Ballroom A-B! http://buff.ly/2ODpSQK #pm101 #precisionmedicine #bigdata https://t.co/cjrfK1cqgz
