@techcrunch.com 1 year ago
Starling Medical’s new urine-testing device turns your toilet into a health tracker
@NeurasysR 2 years ago
Deep learning model that can determine the level of dementia of a patient with Alzheimer's disease based on their MRI image. Project: https://github.com/NeurasysResearch/Alzheimer-MRI-Model- #DataScience #data #MachineLearning #open #Science #Python #100DaysOfCode #radiology #MRI #Medical #AI #Alzheimer https://t.co/M6lmEyI68L
@adaihueze 3 years ago
I built a heart disease binary classification model based on some common factors and causatives. The article can be found here => https://lnkd.in/d94wfrP #Health #medicine #MachineLearning #DataScience #WomenWhoCode #100DaysOfCode #CodeNewbies #womenintech #WomenInSTEM
@slashgear.com 3 years ago
Nanodiamonds could help improve diagnostic tests to detect disease
@JAMA_current 3 years ago
The @US_FDA is launching a Digital Health Center of Excellence to advance technologies including #wearables and mobile health devices, #AI and #MachineLearning-based health technologies for disease detection, and reducing medical device cybersecurity risks https://ja.ma/2TWfdo1
@SwissCognitive 4 years ago
#MachineLearning is capable of identifying #insects that spread the incurable disease called #Chagas with high precision, based on ordinary digital photos. Read: http://ow.ly/nfbo30oYTmM #Medicine #Health #PublicHealth @DalithSteiger @BernardMarr @FHIOxford https://t.co/o1PP9A7qAk
@9to5mac.com 4 years ago
Apple boosts health expertise with children’s asthma tracking startup acquisition
@DSMeu 6 years ago
#Supercomputers in medicine: they reduce the necessary time to develop new drugs, improve disease prediction based on #bigdata analysis or make diagnosis more accurate. Welcome to Hospital 2.0 http://bit.ly/2kJDVXQ #HPC #digitalhealth #HealthTech https://t.co/INnzYDE5MB
@techcrunch.com 7 years ago
With $37 million in funding, health startup Virta aims to cure type 2 diabetes by watching what you eat
@techcrunch.com 8 years ago
CVS Health Taps IBM’s Watson To Predict Patient Health Decline Before It Happens