Failure to consider human factors in past technologies led to poor usability and serious unintended errors https://doi.org/10.1148/ryai.2020190095 @RajRatwani @MedicalHFE #ux #ML #MachineLearning https://t.co/X5D72Rky4N
Please contribute to novel medical research led by Prof @Julian_Gough team at @MRC_LMB @UKRI_News into phenotype prediction from raw DNA files: https://supfam.mrc-lmb.cam.ac.uk/SUPERFAMILY/23andMe #medicalresearch #Prediction #Bioinformatics #Genomics #sequencing #dna #Health #COVIDー19 #DataScience https://t.co/H16B1nTiTQ
Maximising the potential of #BigData will allow us to develop individualised medicine tailored to each patient. @MoniqueRoobol explains why ErasmusMC has led the way on contributing data to PIONEER. Will you join us? @BD4BO @IMI_JU @EFPIA @Uroweb https://t.co/bK4wVxQiC4
NEW PRINT on @medrxivpreprint (led by @JamesASmith92) Financial interests and evidence in public comments on the #FDA framework for modifications to #ArtificialIntelligence / #MachineLearning learning-based #Medicaldevices https://www.medrxiv.org/content/10.1101/2019.12.11.19013953v1 @ndorms @OxfordBRC @CSMOxford