Top Tweets for #UHackMed
This was our 2nd year to be a proud sponsor of #UHackMed at @utsw in early November! Read our blog from @pacejohn whose team competed and won! #bioinformatics #cardiaccatherization #pediatrics https://t.co/eoU9Q27J7t
Check out my newest blog post about competing at the UTSW #uhackmed Hackathon. I was fortunate to be on the winning team with some incredible people at an incredible event! @MarkIIISystems @UTSWNews @theanupamkumar https://t.co/VR7w6dPWv3
#UHACKMED #UTSW #glaucoma #ophthalmology #DataScientist Great updates from Dr. Kooner! Our Team’s Classical Machine Learning algorithm accurately diagnosed Glaucoma today. It was also successful at determining false diagnosis on previous patients. #Greatmoments
I am glad to see our #UHACKMED Classical Machine Learning alogrthim is being put to use today at the Aston Clinic at UT Southwestern by Dr. Kooner and Dr. Mong. #Glaucoma #Vision2020 #UTSW #Ophthalmology
@KathleenBellMD @UTSW_PMR @stilettoscience #UHackMed was a resounding success! Thanks to everyone who participated. #utswresearch
Congrats to my awesome Team 9. Lyda Hill Award winning team at the #uhackmed at UTSW. Great job everyone on the work on pediatric cardiology. @MarkIIISystems @theanupamkumar @UTSWNews
Here it is!! #uhackmed @UTSW_PMR @UTSWNews @UTSWBrain for our work on rehab transitions and delays. Watch for our pubs! @stilettoscience Our leader, Nneka Ifejika.
Results are coming in… #uhackmed @UTSWNews #Team11 (again!!) for Dr. Danuser’s (unexpected) best visualization award… #BD4BC @SusanGKomen
We actually won the Health Impact Award at the #uhackmed @UTSW_PMR @UTSWNews @UTSWBrain @stilettoscience
Results are coming in… #uhackmed @UTSWNews #Team9 for overall winner of Lyda Hill award… #BD4BC @SusanGKomen
@pegah2012 @sreffey Pleasure was ours! Thanks for what you do! #BD4BC @SusanGKomen #uhackmed @UTSWNews @sreffey
Thank you for your support 💓 Pleased to meet you #uhackmed #uhackmed2019 #Bioinformatics #markerlllsystems #utsouthwestern #utswnews #susangkomen
In a nutshell, new MRI technique is applied in the clinic, but data processing is too slow.
Multidisciplinary team at the #uhackmed speed it up and get them even extra information.
12 teams; 48h. Great amount of work. Outstanding collaborative atmosphere. As far as I’m concerned, they all win. Congrats!! I sure don’t envy the judges!! #uhackmed @UTSWNews #BD4BC @SusanGKomen
#Team11 of #uhackmed: leveraging data to predict glaucoma risk in patients. @UTSWNews #BD4BC @SusanGKomen
A great #uhackmed is coming to a end with fantastic talks from all the teams. It was a great pleasure to play the game of nodules with team 2 on thyroid cancer identification from ultrasound images.
#uhackmed
Well done Team 2 ( including @Daetwyler_St ) on detecting Thyroid cancer from ultrasound images using machine learning.
Results looked promising!
@UTSWNews
#uhackmed
Congrats to team 8 "deepTube" detecting misplaced feeding tubes from X-Ray images.
Well presented!
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