@techcrunch.com 2 years ago
Metriport helps you take your quantified self to the next increment
@kelkalot 2 years ago
Our latest work which is about how synthetic data can be used to analyse ECGs: "DeepFake electrocardiograms: the beginning of the end for privacy issues in medicine" Medrxiv: https://www.medrxiv.org/content/10.1101/2021.04.27.21256189v1.full.pdf Code: https://github.com/vlbthambawita/deepfake-ecg @vlbthambawita #AI #MachineLearning #ECG
@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
@slashgear.com 3 years ago
This AI is learning to spot brain tumors – without infringing privacy
@mitpress 4 years ago
.@harvard_data Science Review has returned with its 1st issue of 2020! Check out this fresh batch of articles on the latest topics in #datascience: differential privacy in the 2020 census, trusting #algorithms, precision medicine, and more. #ReadUPScience http://mitsha.re/kK9g50yfhEN
@JIsenbergMD 4 years ago
#3Dscanning+#3DPrinting patient's pancreas, #MachineLearning a slide? What is the FIRST STEP for when creating in medicine? @JuliaHlna advocates planning for privacy impact analysis at a project's start not end, since risks >> deadlines! Wish I was at #3dmed19 🇦🇺🇨🇦cc @JasamineCB https://twitter.com/ozvascdoc/status/1195544599873245184
@theverge.com 6 years ago
‘Selfie medicine’ might help people take their pills — at the cost of their privacy