Radiation Oncologist at @DanaFarber @BrighamWomens @harvardmed and Research Fellow in @VanAllenLab. All views are my own.
Boston, MA
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Many thanks to @ACSNews and @SpeedofLightFdn as well as my mentors and collaborators for all your support! @VanAllenLab @DrPaulNguyen @MtkingMD
Congratulations to the winner of the 2026 ASTRO-ACS Clinician Scientist Development Grant:
David D. Yang, MD, researching “Advancing Biomarker Discovery in Prostate Cancer Through Computer Vision-Driven Profiling of Tumor and Microenvironmental Heterogeneity”
Learn more: bit.ly/4g07pN1
@AmericanCancer @DYangMD @DanaFarber
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Excited to share our work on immune microenvironmental features in prostate cancer!
In our latest, a surprise - thanks to computational pathology - about immune cell clustering in prostate cancer and new ways to understand tumors, their neighborhoods, and clinical outcomes ... congrats @DYangMD et al! (link below)
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Deeply grateful to my coauthors, the patients and loved ones who made this work possible, and @PCFnews for supporting this study 7/n
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Together, our findings nominate immune spatial clustering as a potential biomarker of clinically meaningful immune enrichment in high-grade localized prostate cancer 6/n
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These immune clusters were also associated with molecular features suggestive of a T cell-mediated antitumor response 5/n
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We found that immune cell quantity alone was not associated with outcomes. Instead, a higher burden of spatially dense immune clusters was associated with a lower risk of distant metastasis in two independent cohorts 4/n
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We leveraged deep learning analysis of H&E images (obtained as part of routine care) to evaluate whether immune features were associated with outcomes after prostatectomy 3/n
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Growing evidence suggests that a subset of prostate cancer is immune-enriched, but the clinical consequences of immune enrichment were largely unknown 2/n
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David Yang retweeted
Tonight we sit with the cherished memories of a truly unforgettable individual who changed the lives of so many fighting cancer.
Tomorrow we stand and get back to the fight against the terrible disease that took one of our best, brightest, and kindest.
Love you forever, Felix.
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Excited to share work with coauthors Leslie Lee, @KatieLeeMDPhD @MtkingMD and others on "AI-derived Tumor Volume from Multiparametric MRI and Outcomes in Localized Prostate Cancer." A tweetorial: 1/n
The volume of AI-segmented prostatic tumors was an independent prognostic factor for outcomes of localized prostate cancer treated with radical prostatectomy and radiation therapy. @BrighamRadOnc @DYangMD @KatieLeeMDPHD @MtkingMD bit.ly/4hnxfcw
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If further validated, AI-determined tumor volume may become a novel biomarker for improving risk stratification for pts w/ localized PCa (in addition to genomics and computational pathology approaches) 7/n
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The AI-determined tumor volume may also have greater performance for predicting MFS than NCCN risk groups (e.g. AUROC for 7y MFS 0.84 vs 0.74, p=0.02 for RT-treated patients) 6/n
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Particularly interesting was our observation the intraprostatic tumor size was associated with both BCR and MFS for both RT and RP-treated patients, even after adjusting for the clinical, radiologic, and pathologic characteristics 5/n
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Using a cohort of 732 patients w/ PCa and mpMRIs, we built a segmentation model with the nnU-Net approach which showed good performance (e.g. F1 scores of 84-87% for PI-RADS 3-5 lesions across training/test cohorts) 4/n
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We envisioned that this model would be useful in several ways, such as for focal microboosts for EBRT: redjournal.org/article/S0360… 3/n
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We initially became interested in building a deep learning model for segmenting the intraprostatic tumor from prostate mpMRIs (though noting that we were certainly not the first to attempt this task, e.g. thelancet.com/journals/lanon…) 2/n
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David Yang retweeted
Hi folks - our lab in @DFCIPopSci has an opening for a post-doctoral fellow at the interface of prostate cancer and AI via collab. with Dr. Mary-Ellen Taplin + @DanaFarber_GU - link below! careers.dana-farber.org/job/… @DanaFarber @broadinstitute @harvardmed
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