Publications by authors named "A M Patel"

It is becoming more broadly accepted that human-based models are needed to better understand the complexities of the human nervous system and its diseases. The recently developed human brain organotypic culture model is one highly promising model that requires the involvement of neurosurgeons and neurosurgical patients. Studies have investigated the electrophysiological properties of neurons in such human tissues, but the maintenance of other cell types within explanted brain remains largely unknown.

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Biotherapeutics are among the therapeutics that have revolutionized standard inflammatory bowel disease (IBD) treatment, which was previously limited to mesalamine, 5-aminosalicylic acid, corticosteroids, and classical immunosuppressants. Self-administrable biotherapeutics for IBD would enable home-based treatment and reduce the burden on medical infrastructure. Self-administration is made possible through subcutaneous injectable, oral, and rectal dosage forms.

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Background: Incorporating scratch-cooked, organic, and locally grown foods into school meal programs can enhance meal quality and support local food systems.

Methods: 430 California school food authorities were surveyed to (1) evaluate their use of scratch-cooked, organic, and locally grown foods in their programs; (2) identify demographic and operational characteristics related to this use; and (3) analyze the relationship between serving more of these foods and perceived barriers to student meal participation. Poisson and logistic regression models, adjusted for SFAs' demographic characteristics, were used.

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Introduction: Primary sclerosing cholangitis (PSC) is the classical hepatobiliary manifestation of inflammatory bowel disease (IBD). The strong association between gut and liver inflammation has driven several pathogenic hypotheses to which the intestinal microbiome is proposed to contribute. Pilot studies of faecal microbiota transplantation (FMT) in PSC and IBD are demonstrated to be safe and associated with increased gut bacterial diversity.

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Objective: Artificial intelligence (AI) tools for histological diagnosis offer great potential to healthcare, yet failure to understand their clinical context is delaying adoption. IGUANA (Interpretable Gland-Graphs using a Neural Aggregator) is an AI algorithm that can effectively classify colonic biopsies into normal versus abnormal categories, designed to automatically report normal cases. We performed a retrospective pathological and clinical review of the errors made by IGUANA.

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