@PfeiferLab 1 year ago
Congratulations to Dr Anna Hake on successfully defending her PhD dissertation titled ‘Predicting and analyzing HIV-1 adaptation to broadly neutralizing antibodies and the host immune system using #MachineLearning’ today in #Saarbrücken! #PhDone #MedicalInformatics https://t.co/mf9nBY4PUK
@predict_addict 1 year ago
Conformal Prediction opens new frontiers in biotechnology and medicine. "Predicting Endocrine Disruption Using Conformal Prediction – A Prioritization Strategy to Identify Hazardous Chemicals with Confidence" #conformalprediction #machinelearning https://pubs.acs.org/doi/10.1021/acs.chemrestox.2c00267 https://t.co/wd9SHgSWJd
@AGKBorgwardt 2 years ago
Tomorrow, November 15 at 9:10 AM CET, @kmborgwardt will deliver a keynote talk at #CIBB2021 on "Predicting medical complications in intensive care: early recognition of #Sepsis using #MachineLearning" https://davidechicco.github.io/cibb2021/index.html https://t.co/dLRJa6QBQJ
@kmborgwardt 2 years ago
New article for anyone interested in predicting #sepsis (or other medical complications): "Early Prediction of Sepsis in the ICU Using #MachineLearning: A Systematic Review" https://www.frontiersin.org/article/10.3389/fmed.2021.607952 w/ @Michael_D_Moor @Pseudomanifold @ExpectationMax @Jutzeler_Cathy @AGKBorgwardt
@PGCgenetics 3 years ago
Predicting the likelihood of future #psychiatricdisorders based on training a #MachineLearning #ML #AI model using a handful of genetic variants is unsound science, and likely to lead to medical discrimination. Thread 1/9. Preprint: https://bit.ly/2GSjiq6
@SparklePuleri 4 years ago
Check out my new article: Predicting future medical diagnoses with Recurrent Neural Nets using Fast AI API from scratch https://sparalic.github.io/post/predicting-future-medical-diagnoses-with-rnns-using-fast-ai-api-from-scratch/ #deeplearning, #healthcare, #machinelearning #medical #ai #BlackTechTwitter @blackcomputeHER @fastdotai @jeremyphoward @math_rachel