@ragoninstitute 2 years ago
Musie Ghebremichael and colleagues used #machinelearning and #networkanalyses to identify cell death pathway genes in HIV-infected patients with mitochondrial toxicity, a side effect of some HIV medications. https://bmcmedgenomics.biomedcentral.com/articles/10.1186/s12920-021-01136-1 https://t.co/7KVWdU0Efe
@medical_xpress 2 years ago
#Machinelearning can identify signs of Alzheimer's in patients recalling the story of Cinderella @StGeorgesUni https://medicalxpress.com/news/2021-07-machine-alzheimer-patients-recalling-story.html
@MonicaTincopa 3 years ago
Application of #MachineLearning models continue to show real promise in clinical medicine. #DeepLearning recurrent neural network models outperformed traditional linear regression models to identify patients with #HCV at high risk of developing #HCC. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770062?guestAccessKey=62adc2c2-bf09-495e-a501-1a20d52bf098&utm_source=jps&utm_medium=email&utm_campaign=author_alert-jamanetwork&utm_content=author-author_engagement&utm_term=1m https://t.co/vWqofKqqBi
@bgr.com 4 years ago
Doctors are raising money to train dogs to detect coronavirus
@engadget.com 4 years ago
AI could be the key to catching Type 1 diabetes much earlier
@venturebeat.com 6 years ago
Clew Medical is using AI to identify patients at risk
@theverge.com 8 years ago
Google AI group that conquered Go is now taking on healthcare