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Dalton Schumacher Board Briefing

When it comes to having experiences with medical treatments and hospitals, Dalton Schumacher and his family have had more than their fair share over the years. It is that journey that led him to join the board of The Foundation for Barnes-Jewish Hospital.

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Impact Report: Transplant

You are the bridge to research results being rapidly incorporated into treatment and care for transplant patients. Without you, our world-renowned physician-scientists could not do the important work they do. 

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Impact Report: Transplant

You are the bridge to research results being rapidly incorporated into treatment and care for transplant patients. Without you, our world-renowned physician-scientists could not do the important work they do. 

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Dr. David Holtzman Honored with 2021 President’s Achievement Award

Dr. David Holtzman Honored with 2021 President’s Achievement Award

The Foundation for Barnes-Jewish Hospital has awarded the 2021 President’s Achievement Award to David M. Holtzman, MD.  The award is given to a physician or faculty partner whose distinct and extraordinary accomplishments are advancing medicine, ensuring the delivery of world class patient care, and educating the next generation of clinicians.

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Eleven Physicians Receive Knowlton Incentive for Excellence Awards

Eleven Physicians Receive Knowlton Incentive for Excellence Awards

Eleven Washington University School of Medicine physicians at Barnes-Jewish Hospital were recently honored with 2021 Knowlton Incentive for Excellence Awards that recognize and support medical residents who exemplify a compassionate spirit combined with outstanding knowledge and skill.

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Food Outreach Provides Holiday Meals to Those in Need

Food Outreach Provides Holiday Meals to Those in Need

With Thanksgiving right around the corner, Food Outreach is serving holiday meals to bring comfort and cheer to its hundreds of clients living with HIV and AIDS or cancer. Philanthropy makes it possible for The Foundation for Barnes-Jewish Hospital to support Food Outreach with community grants.

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National Leaders in Organ Transplant

The Washington University and Barnes-Jewish Hospital Transplant Center has one of the oldest and most established transplant programs in the country.

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Quantitative signal properties from standardized MRIs correlate with multiple sclerosis disability

Objective: To enable use of clinical magnetic resonance images (MRIs) to quantify abnormalities in normal appearing (NA) white matter (WM) and gray matter (GM) in multiple sclerosis (MS) and to determine associations with MS-related disability. Identification of these abnormalities heretofore has required specialized scans not routinely available in clinical practice. 

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In vivo evolution of biopsy-proven inflammatory demyelination quantified by R2t* mapping

A 35-year-old man with an enhancing tumefactive brain lesion underwent biopsy, revealing inflammatory demyelination. We used quantitative Gradient- Recalled-Echo (qGRE) MRI to visualize and measure tissue damage in the lesion. Two weeks after biopsy, qGRE showed significant R2t* reduction in the left optic radiation and surrounding tissue, consistent with the histopathological and clinical findings. qGRE was repeated 6 and 14 months later, demonstrating partially recovered optic radiation R2t*, in concert with improvement of the hemianopia to ultimately involve only the lower right visual quadrant. These results support qGRE metrics as in vivo biomarkers for tissue damage and longitudinal monitoring of demyelinating disease.

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Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions

Multiple sclerosis (MS) lesions are heterogeneous with regard to inflammation, demyelination, axonal injury, and neuronal loss. We previously developed a diffusion basis spectrum imaging (DBSI) technique to better address MS lesion heterogeneity. We hypothesized that the profiles of multiple DBSI metrics can identify lesion-defining patterns. Here we test this hypothesis by combining a deep learning algorithm using deep neural network (DNN) with DBSI and other imaging methods.

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