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  • About Me

    Scott Adams
    Scott Adams

    Scott Adams was diagnosed with celiac disease in 1994. Faced with a critical lack of resources, he dedicated himself to becoming an expert on the condition to achieve his own recovery.

    In 1995, he founded Celiac.com with a clear mission: to ensure no one would have to navigate celiac disease alone. The site has since grown into one of the oldest and most trusted patient-focused resources for celiac disease and the gluten-free lifestyle.

    His work to advance awareness and support includes:

    Today, Celiac.com remains his primary focus. To ensure unbiased information, the site does not sell products and is 100% advertiser supported.


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  • Related Articles

    Jefferson Adams
    Celiac.com 05/19/2016 - Using a prospective cohort study, a team of researchers recently set out to assess the outcomes of the latest celiac diagnosis guidelines from the European Society of Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) and British Society of Paediatric Gastroenterology, Hepatology and Nutrition (BSPGHAN).
    The research team included Elisa Benelli, Valentina Carrato, Stefano Martelossi, Luca Ronfani, Tarcisio Not, and Alessandro Ventura. They are variously affiliated with the Department of Medical, Surgical and Health Sciences, University of Trieste in Trieste, Italy, and the Institute for Maternal and Child Health IRCCS 'Burlo Garofolo' in Trieste, Italy. The study was conducted at the Institute for Maternal and Child Health IRCCS Burlo Garofolo in Trieste...


    Jefferson Adams
    Can Machines Learn to Diagnose Celiac Disease Better and Faster than Humans?
    Celiac.com 07/05/2019 - Researchers have created formulas that allow computers to rapidly analyze biopsy images and shrink the time it takes to accurately diagnose celiac and other gut diseases in children. Faster, more accurate diagnosis likely means faster treatment.
    The researchers include Sana Syed, assistant professor of pediatrics at the University of Virginia (UVA) School of Medicine, Donald Brown, founding director of the UVA Data Science Institute, Aman Shrivastava, alumnus of the Master of Science Data Science program, and a team of colleagues.
    Their team created a machine learning tool that can quickly read thousands of biopsy images and easily spot environmental enteropathy and celiac disease, two conditions that can cause stunting and nutritional deficiencies...


    Scott Adams
    What are the Marsh Classification Pathology Criteria for Celiac Disease Patients?
    Celiac.com 06/13/2022 - In 1992 Dr. Michael Marsh developed his "Marsh Classification" system to describe the various stages of microscopic damage to the small intestine (histological changes) seen in those with celiac disease. The original system ranged from 0 - 4, and 3 or higher meant celiac disease, but his system was modified for consistency and reproducibility between pathologists.
    Today, anyone who has been diagnosed with celiac disease has likely heard about the Marsh classification system. Using the Marsh Classification allows clinicians to accurately measure the full extent of the damage to the villi that line the small intestine, to determine the extent of celiac disease progress and damage. Modified Marsh Classification of histologic findings in celiac disease (Oberhuber) ...


    Scott Adams
    Using Machine Learning to Improve Early Detection of Celiac Disease (+Video)
    Celiac.com 03/10/2025 - Celiac disease is often underdiagnosed or diagnosed only after a long delay, leading to prolonged health complications for affected individuals. Researchers aimed to develop a machine learning tool to identify individuals at risk of celiac disease before they receive an official diagnosis. By analyzing electronic medical records, the study sought to create a model that could flag at-risk patients for further screening, potentially leading to earlier diagnosis and better health outcomes.
    Study Approach
    The research team used anonymized medical records from Maccabi Healthcare Services, a large health organization, to train and test five different machine learning models. These models were designed to predict whether a patient was at risk for celiac disease...


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