BrainTumorImagingResearchGroup

Also, not getting the desired result is not a failure. It is eliminating the wrong path. I’m not a big fan of rewarding effort over results, but in collaborative medical research, it makes sense. If we work in silos, we all fail.

Join us for the next broadcast of the Pediatric Tumor Board Series. The broadcast entitled Embryonal tumor with multilayered rosettes (ETMR) will occur live on March 22, 2022, 10:00-11:30 am EST. Register here: bit.ly/PedsBoard

We're 1 DAY AWAY from the @kidsfirstdrc virtual Community Open House! Have you RSVP'ed yet? Join us to learn how #KidsFirst powers new discoveries in #childhoodcancer & #structuralbirthdefect research across the US & beyond! To Register: bit.ly/353VnQK @NIH_CommonFund

If you're attending the @SPIEtweets Medical Imaging conference then don't forget to check out our poster! Rachel is presenting live tomorrow 2/23 bit.ly/33Ho9pX #SPIEMedicalimaging #radiology #ArtificialIntelligence #DeepLearning #medicalimaging

Team member spotlight 🌟 Debanjan Haldar is an MD/MSTR student researching novel methods of brain tumor classification through the combined use of molecular and radiomic MRI data with a focus on pediatric low-grade glioma/astrocytoma

Congratulations to Rachel and Debanjan for submitting a review paper on radiomics & radiogenomics in pediatric neuro-onc research! Major team effort led by @AliNabavia and @anahita_fathi 👏 #bringonthereviews

This study, published in @NeuroOnc, sought to understand the immune composition w/in #glioblastoma #braintumors, to gauge response to cancer #immunotherapy.The study found a protein called S100A4 to be a promising target for immunotherapy. More: buff.ly/3oSJ5lq

On #ICCD2022, #CBTN honors patient families, clinicians, scientists & others who are united in the fight against #ChildhoodCancer Today and everyday, you can join us in that fight. Learn more at cbtn.org #WeWontStop until every child is cured.

Congratulations @rachelmadhogarhia and team for presenting automated segmentation of pediatric brain tumors @SPIEtweets meeting. Tremendous effort by so many great collaborators and students @D3bImaging @CBTNetwork @PNOC_kids @adamcresnick @anahita_fathi @MariamAboian

Team member spotlight 🌟 Rachel Madhogarhia is a bioengineering MS student at UPenn who is conducting research on AI deep learning methods for automatic detection & segmentation of pediatric brain tumors with @CBTNetwork data #DeepLearning #medicalimaging #ArtificialIntelligence