Thank you to Daniel Ackerman, PhD, for his engaging Grand Rounds yesterday on the "Prevalence and Breakpoint Heterogeneity of PSIP1::TBL1X Fusions in Pancreatic Neuroendocrine Tumors". Always great to learn from our amazing colleagues in other areas of @PennMedicine!
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🎉 Congratulations Jonni Moore, PhD, on receiving the Thomas Jefferson University (@JeffersonUniv) College of Life Sciences 2026 Distinguished Alumni Award! We could not think of a more deserving recipient and are so fortunate to have you on our team!
A great recent publication by @carina_dehner in @ModernPathology investigated a series of nine morphologically classic DNSMs and performed molecular testing & demonstrates the first recurrent molecular alteration identified in this tumor type.
🔬: modernpathology.org/article/S0893-…
🔬: modernpathology.org/article/S0893-…
🎉 Congratulations to Dr. Raj Singh, @mydermpath, on recently being named a member of @pathologistmag's Power List Hall of Fame for pathologists and scientists whose impact on the field will last beyond their lifetimes!
🔬: thepathologist.com/power-list/hal…
🔬: thepathologist.com/power-list/hal…
There is a new 🎙️ Precision Pathology Podcast out! In this episode hear our chair @DrNetto in conversation with Dr. Yuri Tolkach as they discusses his team's study analyzing 2,791 whole-slide images using an open-source AI model.
🔬: podcasts.apple.com/us/podcast/can…
podcasts.apple.com Can Computational Single-Cell Profiling of H&E WholeSlide Images reveal prognostic and predictive... Podcast Episode · Precision Pathology Podcast · October 9 · 20m 🔬: podcasts.apple.com/us/podcast/can…
New Precision Pathology Podcast Episode!View quoted post on X
Can computational single-cell profiling of routine H&E slides reveal prognostic clues in lung adenocarcinoma?
In this episode of Precision Pathology, Dr. Yuri Tolkach discusses his team's study analyzing 2,791 whole-slide images using an open-source AI model. The research identified lymphocyte-rich tumor environments as favorable prognostic markers, while granulocyte-rich stromal patterns were associated with poorer outcomes.
The study also demonstrates how spatial immune-tumor interactions can provide powerful prognostic information, highlighting the potential of computational pathology to enhance risk stratification using standard pathology slides.
Read manuscript here: doi.org/10.1016/j.prpa…
Listen to the full episode: clientfiles.doctorpodcasting.com/perelman_patho…
Also available on Apple Podcasts, Spotify, YouTube, RadioMD, and other major podcast platforms.
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