Bina Choi, MD
@binachoimd
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Pulmonary & Critical Care 🫁 @BrighamWomens @ACILHarvard via @ColumbiaMedRes @StanfordMed @MIT. Interested in data science to study lung diseases. Views my own.
Joined February 2010
Thrilled to see our paper on the proteomics biomarkers of QIA published in Blue!! Thank you to mentors @RKalhan and GRWashko and to our collaborators that made the work possible!
@ATSBlueEditor Big new paper from our group led by @binachoimd built from the @NHLBI_LUNGDir @nih_nhlbi CARDIA Lung Study !
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RT @DrPRao: New @NatureMedicine: Plasma protein score of human fitness from >14k individuals across 4 cohorts. Importantly, this score is…
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RT @drdayjee: Sarita Bergei B.S. navigates the novel EB-OCT tool and its potential utility in ILA progression. Nicely showed that subject…
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RT @drdayjee: Dr. Bina Choi @binachoimd discusses a proteomic signature of QIA validated in 2 large cohorts. Leveraged SHAP values which a…
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RT @drdayjee: Dr. Rachel Putman deftly navigates the issue of progression in ILAs and how well quantitative imaging identifies disease prog…
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RT @drdayjee: Dr. Katie Lee @cathryntlee elegantly elaborates on exposures in ILD. • Tobacco and several non-tobacco job-type exposures sh…
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I'm so lucky to have some of the best mentors around!!
So proud of @binachoimd on her @atscommunity Ziskand Clinical Research Scholars Award and so honored to be one of her mentors!
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Very grateful to the @atscommunity and my mentors and collaborators in clinical research (@ACILHarvard @BWHPulmCCM @rachelkputman @RKalhan and many others) for this wonderful honor!
Congrats to the 2024 Ziskind Clinical Research Scholar Awardee, @binachoimd!💫Dr. Choi is a postdoctoral fellow in the Applied Chest Imaging Laboratory at @harvardmed and an associate physician in the Division of Pulmonary and Critical Care Medicine at @brighamwomens. (1/2)
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Proud to see our paper on QIA progression and acute respiratory disease events published in Radiology, along with this thoughtful editorial!
In this targeted editorial, Dr. @bplittle of @MayoRadiology offers insights on a secondary analysis of a prospective study of 3972 participants with smoking history to assess CT progression of quantitative interstitial abnormalities.
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RT @ACILHarvard: Check out our latest works on the field of Spatial Transcriptomics in COPD and Proteomics of QIAs.
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@RKalhan In tissue-specific deconvolution, plasma proteins positively associated with QIA were most highly expressed in the lungs, providing support for the idea that biologic markers of early lung injury can be systemically detectable in the plasma.
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Grateful for your mentorship and guidance, @yoffeash!
More fantastic work by @binachoimd CT scan changes indicate increased mortality risk in ever-smokers @accpchest @BWHPulmCCM @BrighamResearch @COPDGene
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@JackVaron @wbfeldman @BWHPulmCCM @VertexPharma @ajghosh @Jrmayers we need to bring back sputum bowl
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