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VIDA @vidalung

Transforming lung care through intelligence, using imaging-based #AI to uniquely profile and manage the patient with or at-risk of lung diseases. vidalung.ai Coralville, IA Joined August 2011
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VIDA @vidalung

a week ago

We are proud to share this Earth Week that VIDA’s commitment to sustainability has earned us a silver medal from @ecovadis, the world’s largest and most trusted provider of business sustainability ratings. VIDA's score ranks higher than 85% of participating companies. #earthweek

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VIDA @vidalung

a week ago

This week, our incredible team of clinical trial imaging Project Managers (PMs) came together for an intensive training workshop, further sharpening their skills. Their dedication and passion drive us forward. They finished the day with some beach-themed mini golf fun.

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VIDA @vidalung

2 months ago

Last week, Team VIDA came together in Minneapolis to celebrate another strong year. Who knew the same experts who are talented at digital biomarker development, trial site management, & quality control are also talented at pickleball, karaoke, golf, foosball and so much more!?

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VIDA @vidalung

2 months ago

A new study leveraging VIDA's airway lumen and lung volume biomarkers found an interesting association of airway obstruction/COPD and airway tree caliber heterogeneity. Access the full study here: hubs.la/Q02nzwTq0 #COPD #digitalbiomarkers

VIDA retweeted
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NIH NHLBI @nih_nhlbi

2 months ago

New research finds that the size of the passageway that moves air in and out of the lungs matters for emphysema development. For example a smaller passageway is linked with accelerated emphysema progression. bit.ly/3S3J5fT

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VIDA @vidalung

3 months ago

It was a another productive #SCOPEsummit. @Clin_Trials captures many of the key themes from the show in their recap below. To address clinical trial challenges, "leverage technology and data to streamline the execution of clinical trials..." 👀 👍 hubs.la/Q02l4wmq0

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VIDA @vidalung

3 months ago

In case you missed it, here is an excellent editorial in the blue journal by Carrie Pistenmaa, MD and George Washko, MD. on BEACON. hubs.ly/Q02kKbkn0

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VIDA @vidalung

3 months ago

VIDA is empowering trial sites to efficiently produce high-quality trial imaging data. In fact, we've cut site onboarding time for imaging by 50%! Swing by Booth #834 at #SCOPEsummit and we'll show you how.

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VIDA @vidalung

3 months ago

Headed to #SCOPE24 next week and interested to see the latest advances in AI-powered clinical trial imaging? Click the link below to schedule an appointment at our booth. hubs.la/Q02jK9Tj0

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VIDA @vidalung

3 months ago

One more clip from our recent webinar with alpha-1 COPD expert Igor Barjaktarevic, MD, PhD: "Alpha-1 is even more unpredictable..." #alpha1 #COPD #digitalbiomarkers

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VIDA @vidalung

3 months ago

ICYMI: Dr. Barjaktarevic speaks about the power of imaging biomarkers to increase the power of a clinical trial. View more clips from this interview: hubs.la/Q02fSpkl0 #COPD #alpha1 #digitalbiomarkers

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VIDA @vidalung

4 months ago

From our recent webinar with Igor Barjaktarevic, MD: "Imaging offers the ability to better understand heterogeneity of COPD, phenotypes...and the early mechanisms of disease development." Full interview available here: hubs.la/Q02fSlF_0 #COPD #alpha1 #digitalbiomarkers

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VIDA @vidalung

4 months ago

Dysanapsis--a mismatch of airway tree size to lung size--is increasingly important in respiratory care. In this Lancet paper, researchers conclude: "the degree of dysanapsis appears to portend patterns of progression leading to COPD." hubs.la/Q02fSn3H0

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VIDA @vidalung

4 months ago

Structural QCT changes are evident early in the history of smoking-related COPD in a cohort of younger 30-45 year old smokers who do not have COPD. vDPM air trapping (fSAD) and Pi10 digital biomarkers were elevated in the smokers compared with controls. hubs.la/Q02fR0Hs0

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VIDA @vidalung

4 months ago

ICYMI, we recently asked Alpha-1 COPD expert Igor Barjaktarevic, MD, PhD about digital imaging biomarkers beyond PD15. His response: #alpha1 #COPD #digitalbiomarkers

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VIDA @vidalung

4 months ago

New findings from VIDA collaborators: "In ex-smokers with no CT evidence of emphysema, machine-learning models exclusively trained on CT texture-features accurately classified ex-smokers with abnormal diffusing capacity, outperforming conventional QCT." hubs.la/Q02f03m50

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