@Cambridge_Uni 3 years ago
The pandemic has presented huge challenges for #clinicaltrials, but #machinelearning techniques could help improve them, both during the pandemic and beyond. New research from the Cambridge Centre for AI in Medicine @CC4AIM: https://bit.ly/3hX7gIT @MihaelaVDS #COVID19
@CIFAR_News 3 years ago
Watch: Recent #CIFARVirtualTalk w Canada CIFAR AI Chair @MarzyehGhassemi (@VectorInst) & @josephpaulcohen (@MILAMontreal) on their new project applying novel #MachineLearning strategies to medical imaging to improve #COVID19 diagnostics https://youtu.be/LbMtt0oJzsE
@CIFAR_News 3 years ago
Watch: Recent #CIFARVirtualTalk w Canada CIFAR AI Chair @MarzyehGhassemi (@VectorInst) & @josephpaulcohen (@MILAMontreal) on their new project applying novel #MachineLearning strategies to medical imaging to improve #COVID19 diagnostics https://youtu.be/LbMtt0oJzsE
@LabSchultze 3 years ago
Our new preprint is out! Decentralized and privacy-protecting disease prediction using #swarmlearning, the way forward for collaborative precision medicine. Awesome collaboration with @HPE! #COVID19 #machinelearning #blockchain https://www.biorxiv.org/content/10.1101/2020.06.25.171009v1
@reshamas 4 years ago
Great explanation of #datascience terms. Medical test needs to be: 1. SENSITIVE: a technical measure of the smallest amount of virus they can detect & 2. SPECIFIC: ensuring they do not mistake other pathogens, (eg common cold) for the new #COVID19 https://www.washingtonpost.com/science/2020/03/26/negative-coronavirus-test-result-doesnt-always-mean-you-arent-infected/
@LauraBBalzer 4 years ago
Need reliable & up-to-date info on #COVID19? New @UCSFMedicine Grand Rounds. Rich w/ information #epitwitter #MedicalTwitter #statstwitter #AcademicTwitter #AcademicChatter #DataScience @EpiEllie @StatGirlLAM @lisabodnar @JuliaLMarcus @reichlab @AndrewALover @societyforepi https://twitter.com/Bob_Wachter/status/1245932527946088450