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Development of a Patient-reported outcome measure in Barrett’s esophagus
Jacksonville, Fla.
The purpose of this study is to develop a Barrett’s Esophagus specific PRO instrument measuring quality of life in patients with dysplastic and non-dysplastic Barrett’s esophagus (BE). We will perform a) qualitative patient interviews for item generation, concept elicitation and identify symptom domains; b) cognitive interviews to ensure content validity.
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Evaluating the Impact of Cryotherapy Spray (Tru-Freeze) for the Eradication of Gastric Antral Vascular Ectasia (ICE-GAVE)
Jacksonville, Fla.
The purpose of this study is to evaluate the impact of cryotherapy spray treatment for eradication of gastric antral vascular ectasia by measuring the change in hemoglobin levels and transfusion requirements in the first 6 months of cryotherapy treatment compared to the previous 6 months. (Delta Hgb/total number of transfusions)
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The SURVENT Trial: A Multicenter Randomized Controlled Trial of Surveillance vs. Endoscopic Therapy for Barrett's Esophagus with Low-grade Dysplasia
Rochester, Minn.,
Jacksonville, Fla.,
Scottsdale/Phoenix, Ariz.
The purpose of this study is to compare the effectiveness of two approaches for the management of Barrett's Esophagus (BE) and Low-grade Dysplasia (LGD), endoscopic surveillance and endoscopic eradication therapy (EET), using accepted clinical endpoints of neoplastic progression [high-grade dysplasia (HGD)/mucosal esophageal adenocarcinoma (EAC)/invasive EAC] as determined by a blinded central committee.
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Use Of A Detachable String Capsule For Evaluation Of Barrett's Esophagus (DS-MCE-BE)
Jacksonville, Fla.
Using a non-invasive capsule system to achieve optimal viewing angles of the esophagus for detection of Barrett's esophagus
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Voice Analytics As A Tool For Predicting Physiological Health
Scottsdale/Phoenix, Ariz.,
Jacksonville, Fla.
We aim to test the hypothesis that the quality of human voice can be analyzed by multimodal machine learning approaches to assess overall physiological health in patients by predicting aspiration risk, pulmonary function values, frailty, perioperative/periprocedural/post chemotherapy/transplant risks and improvement of sleep apnea post myofunctional therapy.
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Voice Analytics As A Tool For Predicting Physiological Health
Rochester, Minn.
We aim to test the hypothesis that the quality of human voice can be analyzed by multimodal machine learning approaches to assess overall physiological health in patients by predicting aspiration risk, pulmonary function values, frailty, perioperative/periprocedural/post chemotherapy/transplant risks and improvement of sleep apnea post myofunctional therapy.
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