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Publications by authors named "Xavier Lesage"

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Efficacy and tolerability of chitin-glucan combined with simethicone (GASTRAP DIRECT) in irritable bowel syndrome: A prospective, open-label, multicenter study.
Nathalie Talbodec Pauline Le Roy Peggy Fournier Benoit Lesage Elodie Lepoutre Xavier Lesage

World J Gastrointest Pharmacol Ther

May 2024

Article Synopsis
  • IBS is a chronic gastrointestinal disorder marked by abdominal pain and altered bowel habits, with limited first-line treatment options focused on specific symptoms.
  • GASTRAP DIRECT is a new medical formulation combining chitin-glucan and simethicone, aimed at treating gas-related symptoms in IBS patients.
  • In a 4-week trial with 120 IBS patients, 67% reported reduced abdominal pain, along with significant improvements in bloating, distension, and overall quality of life, showing promising efficacy of GASTRAP DIRECT.
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Velocity and Color Estimation Using Event-Based Clustering.
Xavier Lesage Rosalie Tran Stéphane Mancini Laurent Fesquet

Sensors (Basel)

December 2023

Event-based clustering provides a low-power embedded solution for low-level feature extraction in a scene. The algorithm utilizes the non-uniform sampling capability of event-based image sensors to measure local intensity variations within a scene. Consequently, the clustering algorithm forms similar event groups while simultaneously estimating their attributes.

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Synopsis of recent research by authors named "Xavier Lesage"

  • - Xavier Lesage's recent research focuses on innovative solutions for medical and technological challenges, including a study on the efficacy of a new treatment for irritable bowel syndrome and advancements in computer vision technologies.
  • - In the first study, titled "Efficacy and tolerability of chitin-glucan combined with simethicone (GASTRAP DIRECT) in irritable bowel syndrome," Lesage investigates a combination therapy aimed at alleviating gas-related gastrointestinal disorders, showing promise in improving symptoms for IBS patients.
  • - The second article, "Velocity and Color Estimation Using Event-Based Clustering," presents a novel algorithm for extracting low-level features from scenes using event-based image sensors, enhancing performance in low-power applications and contributing to advancements in image processing technologies.

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