Anglin Dent

18 posts

Anglin Dent

Anglin Dent

@AnglinDent

MD/PhD Student @uoftmedicine @sickkids

Katılım Ocak 2020
120 Takip Edilen61 Takipçiler
Anglin Dent retweetledi
Andrea Boggild, MD
Andrea Boggild, MD@BoggildLab·
So honoured to have given the keynote address at yesterday’s @UofT MD/PhD Mentorship Symposium 🙏 TY to all who attended & to @BryanAGascon & @AnglinDent who organized an incredible day 👏🙌 Huge applause to @AlainnaJJ for her wonderful talk as a program alumnus 💪👏 #mentorship
Andrea Boggild, MD tweet mediaAndrea Boggild, MD tweet mediaAndrea Boggild, MD tweet mediaAndrea Boggild, MD tweet media
Students of U of T's MD–PhD Program@uoftmdphd

Look at this incredible line-up of mentors and speakers for our @UofT MD/PhD Mentorship Symposium! Happening on March 27th 💌 @uoftmedicine @UofTMDprogram

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Students of U of T's MD–PhD Program
This year's MD/PhD Mentorship Symposium was a tremendous success—an afternoon full of good learning and counselling 🤝 Thank you to our wonderful keynote speakers @BoggildLab & @AlainnaJJ and to our student, faculty, and alumni attendees!
Students of U of T's MD–PhD Program tweet media
Students of U of T's MD–PhD Program tweet media
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Black Medical Students’ Association at U of T
SPOTLIGHT EP. 1🌟: Introducing Allysia Chin, the brilliant Black MD/PhD student reshaping medicine and research. With her exceptional talent and dedication, Allysia exemplifies Black brilliance at its finest. She's not just making strides in academia, but also plays an impactful role in her community. She sets the bar higher. #BlackExcellence #MDPhD @uoftmedicine @uoftmdphd @allysiachin
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Anglin Dent
Anglin Dent@AnglinDent·
So excited to finally share my exciting MSc project! Our new paper in @ScienceAdvances describes how unsupervised deep learning tools may provide a generalizable approach for mapping intratumoral heterogeneity. science.org/doi/full/10.11…
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Anglin Dent
Anglin Dent@AnglinDent·
In our proof of concept study, HAVOC mapping of our glioma cohort underscored the utility of deep learning tools to guide multi-site sampling in heterogeneous tumors to better characterize their biology and target personalized medicine efforts.
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