The lack of transparency and reproducibility in #ArtificialIntelligence research hinder its adoption in biomedicine: @nature -> https://t.co/LRIQMgRO9K
Press releases:
@PMResearch_UHN -> https://t.co/4qP62Cvk0k
@HarvardChanSPH -> https://t.co/m44MwBTxeX
@juli_tkotz No it doesn't have to be and adding it in apt-get is better (didn't see it in the image earlier). We are looking at your capsule right now. Meanwhile, check your quota :)
@juli_tkotz @CodeOceanHQ@lakens Glad you got this far :) Have you tried adding this line to your Post-Install script (no sudo needed)?
apt-get install texlive-xetex
It should address the "xelatex: not found" problem.
source: https://t.co/wsZqkeb6wR
Post co-written with @xuf12 on how open research tools like CodeOcean and https://t.co/UHhl6caern can help to accelerate science @CodeOceanHQ@protocolsIO
@da5nsy@PhDemetri@CodeOceanHQ@rstudio Thanks for the mention! An example of an open-access, reproducible capsule in Rmd: https://t.co/aIFze9hwZJ, and R notebooks work equally well here.
1/ Hello, World. Introducing https://t.co/imw2vuQEVn. A single place for data and visual analytics tracking Ontario's response to flattening the curve. An amazing collaborative effort (over 70+ strong and growing). @DFisman@LauraCRosella@BeateSander@ishaberry2@BogochIsaac
"Viral load that was detected in the asymptomatic patient was similar to that in the symptomatic patients, which suggests the transmission potential of asymptomatic or minimally symptomatic patients... may occur early in the course of infection"
#masks4all
https://t.co/6BvjcNYWh9
The Czech Republic went from zero mask usage to 100% in 10 days, and in the process they halted the growth of new covid-19 cases.
How? They made their own! They didn't need government help; they did it themselves.
It's time for #masks4all. See why:
https://t.co/SiYApRvByq
1/
Service announcement: Hot research topics (= Corona virus) + motivated reasoning (= Wanting to help) + selective reporting of what 'works' + potential real life implications of single studies means all you Corona researchers need LOWER your alpha levels substantially.
Excited for the start of the new https://t.co/ktYtgB7WOT @DataInstituteSF Deep Learning Course this evening with @jeremyphoward! Even though we can't hold the in-person course as originally planned, we look forward to the virtual community & connection during this difficult time
We've created a covid-19 discussion forum for discussions that are data-driven/ technical/ practical. Share & join projects for building ventilators, finding reagents for testing, improving contact tracing, public policy discussions and communications, etc
https://t.co/qiwsbtTTVV
As data scientists, we (with @math_rachel) have done our best to look at the data around covid-19, and what it means to you and your community.
Our view: it is appropriate to be very concerned, and significantly change your lifestyle, right now.
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https://t.co/tPlPYHuIXi
To help accelerate the research on the new coronavirus, we are offering all teams working on #coronavirus unlimited cloud computing and storage resources until publication. #2019nCoV
Once signed up on https://t.co/RyWjzEIIgF, please get in touch with us at [email protected]