@tech.eu 1 year ago
Analysing and processing millions of medical publications, XUND raises €6 million
@AtulMalhotra13 1 year ago
Getting great feedback for our #bigdata analyses on use of #cpap for #sleepapnea. a dose response effect suggesting benefit to even minimal cpap use, challenging current medicare criteria #ucsd #ats2022 https://www.globenewswire.com/news-release/2022/05/18/2446401/0/en/Even-2-Hours-of-PAP-Therapy-per-Night-Benefits-Sleep-Apnea-Sufferers-ResMed-Study.html
@dipymri 2 years ago
A detailed schedule of the DIPY Workshop 2022 is now available: https://github.com/dipy/dipy_assets/raw/main/DIPY%20Workshop%202022%20Schedule%20V1.pdfSupercharge your data and analyses with DIPY!!! To register, please visit http://workshop.dipy.org #MachineLearning #Python #Medical #Imaging @NIBIBgov
@michigan_AI 3 years ago
New #machinelearning approaches from Michigan AI, Michigan Medicine, & the School of Public Health proposes to increase the efficiency of downstream analyses, enabling microbiome research that has the potential to transform future medical care. https://ai.engin.umich.edu/stories/precision-health-in-the-palm-of-your-hand
@michigan_AI 3 years ago
These #MachineLearning approaches from Michigan AI, Michigan Medicine, and the School of Public Health proposes to increase the efficiency of downstream analyses, enabling microbiome research that has the potential to transform future medical care. https://ai.engin.umich.edu/stories/precision-health-in-the-palm-of-your-hand
@techcrunch.com 4 years ago
The FBI searched the offices of microbiome startup uBiome
@venturebeat.com 5 years ago
Federated learning technique predicts hospital stay and patient mortality
@NEJM 5 years ago
Data-organizing methods have been in place for centuries, but very large data sets have come into being relatively recently. The authors describe terminologies, ontologies, and the changes needed to permit analyses of #bigdata that might better serve medical decision making.
@monicaMedHist 6 years ago
Medieval medicine is 1 of the fields that is being most radically transformed by #DigitalHumanities. Medical texts are often very long, & some of them are widely disseminated. (Estimated count of @EgoConstantinus MSS is currently well over 1000!) #BigData can mean rich analyses. https://twitter.com/RobbinsLibUR/status/984405898729873408
@pmarca 7 years ago
So it turns not that not only can't you trust much published research, you can't trust many meta-analyses either. http://retractionwatch.com/2016/09/13/we-have-an-epidemic-of-deeply-flawed-meta-analyses-says-john-ioannidis/
@Vermilion_LS 8 years ago
Machine Learning & Medicine http://ja.ma/1Wdty8r#mHealth data gathering & #bigdata analyses should change practice AND R&D #ReMedDev