One of our current projects focuses on measuring cardiorespiratory fitness as a biomarker of physical activity, using data from the VA’s EHR system, to examine the relationship between CRF and AD/ADRD. Read more about our projects at the link in bio🔗
We’re excited to spotlight the YouTube channel created by our talented team member, Vahab Khademi! His channel, Statistics Foundations, is dedicated to simplifying complex statistical concepts.
Check out the channel here: https://t.co/rKhH5gDci8
Our newly published study sheds light on the increased risk of opioid use disorder (OUD) among U.S. veterans, especially those who receive care from both VA and non-VA providers (dual-system users). Check out the full paper here: https://t.co/Hnp4FyEdYH
Farewell to Ryan Wu, whose hard work and positivity will be missed! Wishing you all the best in your next chapter. 🙌
Excited to welcome Chloe Zhou to the team! Can’t wait to see all the great things you’ll accomplish with us. Welcome aboard!
Thank you Dr. Adnan Lakdawala for an excellent webinar! Dr. Lakdawala shared how most variables in the National Violent Death Reporting System have some level of missing data, which zero-shot learning can impute with reasonable accuracy, reducing bias.
Tomorrow! Please join us for a Joint GWU/CTSI-CN/Washington DC VA Informatics Seminar taking place Wednesday, January 29th, 11:00am - noon Eastern Standard Time. Dr. Adnan Lakdawala of The George Washington University will present. See flyer for details. https://t.co/FaPuzS6qo3
Please join us for a Joint GWU/CTSI-CN/Washington DC VA Informatics Seminar taking place Wednesday, January 29th, 11:00am - noon Eastern Standard Time. Dr. Adnan Lakdawala of The George Washington University will present. See flyer for details. https://t.co/FaPuzS6YdB
We are excited to share that Dr. Liz Workman recently presented at the #IEEE Workshop on December 15th! Dr. Workman presented "More than the Sum of its Parts: Applying Topic Modeling and Explainable AI to Deep Learning in Understanding Problematic Opioid Use".
We’re grateful to our team, collaborators, and community partners for driving our progress and innovation this year. Wishing you and your loved ones a joyful holiday season and a prosperous New Year!
Check this out: SPARC and GWSMHS have received a $500,000 grant from NIH to develop AI-empowered therapeutic art tools for adults with disabilities. Read more:
https://t.co/7z2xIaXMOm
Thank you Dr. Danielle Scharp for yesterday's superb seminar! Dr. Scharp presented: Leveraging Natural Language Processing to Identify Symptom Clusters and Risk for Hospitalizations among Older Adults with Urinary Incontinence in Home Healthcare.
Tomorrow! Please join us for a Joint GWU/CTSI-CN/Washington DC VA Informatics Seminar taking place 12/11/24, 1:00pm - 2:00pm EST. Dr. Danielle Scharp of The Mount Sinai Hospital will present. See flyer for details.
Join via WebEx: https://t.co/0823VXjALq
Please join us for a Joint GWU/CTSI-CN/Washington DC VA Informatics Seminar taking place 12/11/24, 1:00pm - 2:00pm EST. Dr. Danielle Scharp of The Mount Sinai Hospital will present. See flyer for details.
Join via WebEx: https://t.co/0823VXj2VS
Check out this poster! Dr. Yan Cheng presented a poster at the American Heart Association conference in Chicago, titled "Estimating Effects of Magnesium Supplement Use on Preventing Heart Failure in Diabetic Patients via Target Trial Emulation". #AHA24
Thank you Dr. Minkook Son for an excellent seminar yesterday! Dr. Son provided a wide spectrum of potential uses of RWD/RWE, insights from Korean National Data, and RWD with AI.
Adnan Lakdawala presented the poster "Using Zero Shot Learning to Impute Missing Data for Reducing Bias in the National Violent Death Reporting System" at #AMIA2024 this weekend, showing the use of natural language processing to reduce bias in public health surveillance.
Big thanks to Dr. Liz Workman for organizing an outstanding workshop at the AMIA Annual Symposium! A huge appreciation to all the attendees, participants, and panelists who contributed to its success. #AMIA2024
Dr. Qing Zeng and Dr. Liz Workman spoke at #AMIA2024 this weekend on "Using Data Science and AI to Advance Violence and Injury Prevention". Their workshop covered challenges and opportunities, AI methods, and more.
Our new Research Assistant, Yufei Wenslaff, recently had the opportunity to present a poster at WSN 2024! Yufei's work with the Concordia University Irvine Marine Lab looked at the movement and growth of Pismo clams using RFID tagging to track them in an intertidal habitat.