A multicenter clinical research study @UCSF_BASIC aiming to implement new treatments through interdisciplinary approaches & transform the lives of SCI patients.
San Francisco, CA
Joined April 2019
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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
We are also thrilled to have him onboard 👨🔬👨💻 And speaking of Dr.@AbelTorresEspi2 contributions on #SCIresearch, have you read our most recent paper led by him: elifesciences.org/articles/6…
We couldn't be happier to have Dr. @AbelTorresEspi2 on our team. His passion for #spinalcordinjury research and #DataScience has an invaluable contribution to the quality of research at our center. Learn more by reading his interview for #WingsForLife: wingsforlife.com/en/latest/t…
We're in the news 🎉Congrats again to everyone involved in the study, first foremost to @AbelTorresEspi2 & a huge thank you to all our patient volunteers like Chris. And of course this wouldn't be possible without our funders @CDMRP #SCIRP & @NeilsenFndn!
sanfrancisco.cbslocal.com/vi…
TRACK-SCI retweeted
Check out our latest paper published in @eLife! We have used machine learning to uncover a blood pressure range during acute spinal cord injury surgery that maximizes probability of neurological improvement at hospital discharge. doi.org/10.7554/eLife.68015
pressure range which increases significantly the probability of functional improvement after #SpinalCordInjury. Congrats to all authors 🎉🎉🎉 You can read the full story here: elifesciences.org/articles/6…
We're excited to share a new preprint from our work! While leveraging powerful automated #machinelearning tools, we focus on integrating clinical expertise into the loop to key in on critical hemodynamic predictors of #SCI outcome. biorxiv.org/content/10.1101/…
With #machinelearning becoming more accessible for #biomedicine, we need better strategies to interpret and improve the #reproducibility for clinical ML. Read about our lessons-learned and process for bridging complex ML models & clinical experts to empower clinical discovery.
Congrats to Dr @AustinChou8 et al. and a huge thank you to our team of clinicians, molecular biologists, and data scientists; truly an interdisciplinary effort! @UCSF_BASIC @NeurosurgUCSF @ZSFGCare @DataRobot @AbelTorresEspi2 @nikos_kyritsis @HuieRussell @SpineNeuro @MSBeattie34
TRACK-SCI retweeted
Are you an early career researcher and/or clinician (ECRC) with an exciting spinal cord injury (SCI) project? If so, @ASIA_spine is organizing a multi-part webinar series where you can showcase your work and connect with other rising stars.
Apply here 👇 asia-spinalinjury.org/asia-s…
TRACK-SCI retweeted
Our community is growing continuously. This is very exciting. The next step is to actually upload data! Starting before it is required by funders sounds like a great idea.
Don't miss tomorrow an exciting presentation from our own Dr.@AustinChou8 and find out how automated #MachineLearning can be utilized for #SCI clinical discoveries! @UCSF_BASIC @NeurosurgUCSF
TRACK-SCI retweeted
RT to show your friends you're running for those who can't this Sunday in the #wingsforlifeworldrun
👩🦽👨🦽🏃♀️🏃♂️ 🚗💨
TRACK-SCI retweeted
Congratulations to our own Dr. Adam Ferguson on the acceptance of the new project proposal titled: "Elevating SCI Translation: Combining Literature-sourced Informatics, Meta-science, Bioinformatics Evidence Research (CLIMBER)" by the #wingsforlife foundation! #spinalcordinjury – at San Francisco, CA
Our team is growing! We have a 4th center joining our study and that is @UW. They join @UCSF_BASIC, @UCSFFresno, and @OSUWexMed in our efforts to better understand human #SCI and provide tools and guidance to clinical practice. Who will join next?
TRACK-SCI retweeted
Happy Wednesday everyone! We're almost to the weekend! Bu get even more excited for next Tuesday's seminar with @CaffertyLab & @AnaVivinetto! Our moderator will @LYGraves.
Looking forward for this meeting! Our study will be strongly represented with 4 speakers demonstrating how clinical research and #DataScience merge to inform and guide clinical practice.
Join your peers July 8-10 (Precourse July 7)for the ASIA 2021 Annual Scientific Meeting. Complete details available here:
asia-spinalinjury.org/2021-a…
TRACK-SCI retweeted
Pre-Application Due Date for #SCIRP #funding is May 24th, 2021. Please retweet. We are trying to get broad awareness of these opportunities.
Funding Opportunity: The FY21 Spinal Cord Injury Research Program’s funding opportunities are live. #SCI #research #funding Check them out here: cdmrp.army.mil/funding/scirp
TRACK-SCI retweeted
I'm proud to see the article metrics on our @track_sci paper on #ultraearly surgery for #SpinalCordInjury with @JohnFredBurkeMD published in @NeurosurgeryCNS. Top 5% of all research outputs ever tracked! @NeurosurgUCSF @UCSF_BASIC @ZSFGCare
Congratulations to our Co-I, @nikos_kyritsis, for his new DoD #SCIRP grant! We are really excited to see how data from our study will be used in a bedside-to-bench and back approach.
I'm thrilled to announce that the #KyritsisLab will be launching soon! Our first grant application was recommended for funding by the Department of Defense @CDMRP! So immensely grateful to all current and past mentors! Stay tuned for more updates in the near future! #SCIresearch
TRACK-SCI retweeted
#UCL master’s study about #smartphone #accessibility for individuals with a #spinalcordinjury .
Your feedback will help us to propose improvements that will enhance the smartphone #UserExperience for users with a #spinalcordinjury .
Sign up —> smartphoneaccessibilitystudy…
ALT A UCL master’s study about smartphone accessibility for individuals with spinal cord injuries by the MSc of Rehabilitation Engineering and Assistive Technologies. The study has been approved by the UCL Research Ethics Committee. We are seeking to identify the challenges faced by people with a spinal cord injury when using their smartphones to then improve the user experience. You can virtually participate in the study by either completing our online questionnaire which is about 15 minutes and/or taking part in our interview which is about 1 hour long. You can sign up by visiting our website which can be found using the link in our bio. For more information please visit our website or contact us directly using the following email: [email protected]