LaussenLabs
@LaussenLabs
Followers
236
Following
70
Media
5
Statuses
35
Multidisciplinary research lab focusing on systems physiology, data science, and machine learning in a pediatric critical care environment.
Toronto, Ontario
Joined September 2017
LaussenLabs is hosting Innovation Rounds. Would you like to attend?
linkedin.com
Login to LinkedIn to keep in touch with people you know, share ideas, and build your career.
0
0
1
FREE Feature article: Human Factors Analysis of Latent Safety Threats in a #PedsICU by Trbovich et al @laussen_peter 🇨🇦: https://t.co/TfcYojl0oI Editorial by @JessLaRosaMD et al @jimfackler: https://t.co/F09cjGjT4F
@SCCM @WFPICCS
0
15
25
New publication out now!
New research: An integration engineering framework for machine learning in healthcare https://t.co/8yHTCfn6LO
#digitalhealth
0
0
2
🚨Publication alert🚨 in @NatureMedicine! Congrats for this achievement to our very own Daniel Ehrmann, @sn_gallant, @sujnagaraj, Sebastian Goodfellow, @DannyEytan, Anna Goldenberg & Mjaye Mazwi from @LaussenLabs + @SickKidsNews ! >>🦾🧠#AI and #MachineLearning in #PedsICU
Evaluating and reducing cognitive load should be a priority for machine learning and artificial intelligence #AI in healthcare. Correspondence from Daniel E. Ehrmann and colleagues @sickkids
https://t.co/q2NPu37JMw
0
7
18
We are thrilled to announce that our lab member and MASc candidate, Dmitrii Shubin recently presented a research poster at the Machine Learning in Healthcare (MLHC) conference, describing our time-efficient labelling framework. Read more: https://t.co/v9sOWQVjHP
0
0
0
"A practical approach to storage and retrieval of high-frequency physiological signals" https://t.co/0pDZtX8rbI Describes a database of physiological waveforms collected in a pediatric critical care unit. Over 720,000 patient-hours of data from more than 5300 patients. #pedsicu
1
6
16
“Human factors engineer needs to be in every critical care unit” @laussen_peter @LaussenLabs #CCC49 @sccm @SickKidsCCM
0
2
8
Inspired by human learning, circuits are now evolving to allow for faster and more efficient machine learning. @LaussenLabs
0
1
2
0
5
10
Celebrating our 2 trillionth value collected by thanking the @SickKidsCCM staff that help us make it happen with this amazing cake! @laussen_peter
1
2
18
How Toronto's SickKids hopes to use AI to predict cardiac arrests
0
6
23
AtriumDB and LaussenLabs work featured as part of a first-of-its-kind announcement at Sick Kids @laussen_peter @SickKidsNews
theglobeandmail.com
Dr. Anna Goldenberg will be the hospital’s chair in biomedical informatics and artificial intelligence
0
3
9
One of the best talks I’ve ever heard on risk. “How do you deal with unknown unknowns? You stay humble.” @Gilwad @laussen_peter @LaussenLabs #RiskyBiz2018
0
2
9
D Risky Business conference is here: Nov 5-6 @sheratonhotels @Toronto. Packed with amazing sessions on #AI, #ethics & #legal implications of #risk, #DecisionMaking & preparing for the #unexpected. Register now: https://t.co/xAXTVLjM4O
@sickkids @laussen_peter #PedsICU @UofT @UHN
0
4
6
“The future is now!” Visionary leader in big data and healthcare technology. So lucky to always learn from him. Kind mentor to me and all critical care physicians. @CAPHCTweets @laussen_peter @LaussenLabs #CAPHC2018
0
5
13
Dr. Peter Laussen speaking about the future of healthcare with Artificial Intelligence #CAPHC2018 @SickKidsNews
1
7
19
LL Researcher Dr. Anusha Jegatheeswaran presenting her research on why high resolution physiological data is imperative when estimating a patient’s state. #MLHC2018
0
2
6
LL Researcher Sebastian Goodfellow presenting his work to lift the veil on ECG rhythm classification ML models at #mlhc2018
0
1
4
#MjayeMazwi impressive talk on #bigData @laussen_peter #WFPICCS18 #PedsICU key message for me: machine learning to identify latent variables to predict latent states; the white box, black box and grey box models; #bayesian
0
7
10