@NUFeinbergMed 1 year ago
We are thrilled to announce that third-year medical student Jonathan Huang was the first author of a paper exploring best practices for reducing biases in clinical #MachineLearning research. @JMIR_MedInform http://spr.ly/6014MUHA6
@track_sci 2 years ago
We are thrilled to announce the publication of our latest study at @eLife! @AbelTorresEspi2 and colleagues from @UCSF_BASIC, @NeurosurgUCSF, @ZSFGCare & the Santa Clara Valley Medical Center used a #MachineLearning approach to discover an optimal intraoperative mean arterial https://t.co/2A5PnGqhtZ
@SpyridonBakas 3 years ago
Excited for the release of the first-ever medical imaging benchmark of the multi-institutional multi-corporation MLPerf initiative being on the @BraTS_challenge, and thrilled to be a member of the advisory board: https://mlperf.org/dataset-and-model-credits/ #MachineLearning @CBICAannounce @Penn
@OWKINscience 4 years ago
Thrilled to showcase our dedicated lab space at @GustaveRoussy to @girybernard today; here we collaborate closely with medical researchers and spin out AI projects funded by the @iledefrance #Aiforhealth data challenge! #machinelearning #privacypreservation #medicaldiscoveries https://t.co/QXjWnRw8fO
@mblum_g 4 years ago
Not a usual week-end for me. I will take a leave of absence from academia and @CNRS, and I am thrilled to join the startup @OWKINscience working on #MachineLearning for medical research. https://t.co/x8HDmX4IJa
@TMLS_TO 5 years ago
We're thrilled to announce Anne Martel from @Sunnybrook will be giving her talk on "Machine Learning for Medical Imaging" Join Anne Martel's talk and 40+ others at the @TMLS_TO annual summit. #NLP #deeplearning #canada #startups #data #datascience #AIevent #medicalimaging https://t.co/3fNByfTAAf
@techcrunch.com 7 years ago
Meet the startups participating in Hardware Battlefield 2017 at CES
@techcrunch.com 9 years ago
Introducing The 14 Companies Participating In Disrupt London: Startup Battlefield