The latest #MedStory episode explores groundbreaking #StanDOM research that examines the safety of #GLP1 receptor agonists, like Ozempic & Wegovy, in #CriticalCare settings. Findings suggest these popular drugs do not negatively affect patient outcomes in the #ICU. https://bit.ly/4t1xyzH
In the latest #MedStory, #StanDOM clinicians Albert Park & Neera Ahuja discuss a new study examining whether #GLP1 receptor agonists impact outcomes for critically ill patients. Their findings suggest these medications do not worsen critical care outcomes. stanford.io/458jNEX
How can a common virus spark a lifelong disease? Rebecca Handler, MSc, breaks down a Stanford study that reveals how #EpsteinBarrVirus, the culprit behind mono, can trigger #MultipleSclerosis in those who carry certain genetic risk factors. #MedStory https://bit.ly/4nHaToW
ICYMI: In the latest #MedStory episode, host Rebecca Handler unpacks a Stanford-led study showing how the #EpsteinBarrVirus (EBV) may trigger #MultipleSclerosis in some people — & what this means for future prevention. https://bit.ly/4nHaToW
New #MedStory episode now live! Host Rebecca Handler explores a Stanford-led study showing how the Epstein-Barr virus (EBV)—best known for causing mono—can trigger MS in genetically susceptible people. https://stanford.io/4nuO8o8
#StanDOM PhD candidate Jason Nideffer discusses immune memory & #malaria response. His team's research on T cells may explain why some children get repeated malaria but avoid severe illness—insights that could shape new vaccines. #MedStory stanford.io/46liLqy%22
How do some children avoid serious illness from repeated malaria infections? #StanDOM-led research points to an "immune braking system" that has implications for broader vaccine strategies. More in #MedStory: stanford.io/46liLqy
A specific group of T cells may explain why certain Ugandan children face severe illness when infected with #malaria — & others don't. Our latest #MedStory dives deeper into research led by DOM's Jason Fairbank Nideffer, Prasanna Jagannathan & Maria-Grazia Roncarolo: bit.ly/4fc6CXs
In this new episode of #MedStory with Rebecca Handler, learn about Tracey McLaughlin & Michael Snyder's new #AI model that analyzes continuous glucose monitoring data to pinpoint & predict each patient's unique subtype of #Type2Diabetes or #prediabetes. stanford.io/4iOXRDx
"We were surprised how good this model worked… In #BreastCancer, we can predict up to 15,000 genes with high accuracy" says #StanDOM's Olivier Gevaert, discussing his work using #AI to improve #cancer diagnostics. #MedStory bit.ly/3EAn2dM
#StanDOM's Rebecca Handler & Olivier Gevaert discuss SEQUOIA, an #AI tool that predicts gene activity from #tumor images, reducing costs & making #PrecisionMedicine more accessible. #MedStory #CancerDiagnostics stanford.io/3EBUMYs
Curious about CAR-T Cell Therapy? Science communicator Rebecca Handler simplifies this groundbreaking cancer treatment in just two minutes. Watch the latest #MedStory Mini to learn how research at Stanford is improving cancer care. bit.ly/4iy5K0m
Just subscribed to #MedStory by @brandonbrownmd from @IURadiology and stoked to listen. itunes.apple.com/us/podcast/medstories/id...