We are recruiting a Research Platform Engineer working with @cogstack@Kings_BHFCentre and @phidatalab on bringing #NLP into cardiology, join a great team of data scientists, developers and clinicians. Applications close 3rd sept! @KCLBHI https://t.co/4ReLcTFKvF
I'm excited to see our MachineLearning work on human disease genetics out in NAR https://t.co/38lmteyV5F DGLinker predicts new candidate genes given a set of known disease genes.Great team effort JiajingHu et al @Nicole22874565 @_danbean@Albalepore@AmmarAlChalabi@richdobson
📢New paper: Evaluation of NEWS2 for predicting severe COVID outcome https://t.co/5oH54to60D
👉NEWS2 had poor-moderate discrimination for severe outcome (ICU/death) at 14 days. But improved w. blood/physio params.
@BendayanRebecca (co-lead) @jthteo@richdobson@NIHRMaudsleyBRC
Day 8 of our #70healthtech#NHS70:
Folks, meet @lulaueille, project manager for the Centre for Translational Informatics. Smart, awesome, has a thing for #data & #digitalhealth. Yup, she's for realsies!
Read on, conquer data & go make a difference! >> https://t.co/tQvfO50aAw
One day left to apply to this funded #PhD project, “Modern NLP Applied to electronic health records for stratification and clinical decision making in psychiatry” (BIOS-2.01). Come work in translational #informatics and #DataSciece with @phidatalab! https://t.co/nj9RLhB8gl
This project will be a lot of fun in #NLP#DataScience#DeepLearning across London #EHR systems with great collaborators and training https://t.co/BYC7B2nfG9
@Virgin_TrainsEC@thetrainline To be fair @thetrainline you could have at least told me it wouldn't be possible to get a seat rather than asking if I want the window. Guess theres no money in reasons not to buy a ticket.
@Virgin_TrainsEC I tried to but didn't make the cut apparently. I can see along the length of the train every carriage is full of people standing. But at least it wasn't massively overpriced! Oh wait...
Come and work with us in @phidatalab on using #EHR data with @cogstack for data science in cardiology at the @TheBHF Centre for Research Excellence! https://t.co/9yQeKXyaIy
Please RT. Come work with me @Cambridge_Uni@MRC_BSU on survival and longitudinal modelling of chronic disease using health records. Prognosis models based on patients history, including co-morbidities. https://t.co/eOyBQAdZ9U @HDR_UK@FarrInstitute