Article

Rapid Diagnosis of Celiac Disease Based on Plasma Raman Spectroscopy Combined with Deep Learning

2024-02-14

Abstract excerpt

Celiac Disease (CD) is a primary malabsorption syndrome resulting from the interplay of genetic, immune, and dietary factors. CD negatively impacts daily activities and may lead to conditions such as osteoporosis, malignancies in the small intestine, ulcerative jejunitis, and enteritis, ultimately causing severe malnutrition. Therefore, an effective and rapid differentiation between healthy individuals and those w...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6324a414-b27d-53c9-a638-e698cbea78d3
DOI: 10.21203/rs.3.rs-3897894/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Rapid Diagnosis of Celiac Disease Based on Plasma Raman Spectroscopy Combined with Deep LearningDOI 10.21203/rs.3.rs-3897894/v1Read

Prediction of Celiac Disease Severity and Associated Endocrine Morbidities through Deep Learning-based Image AnalyticsSemantic proximity Read

Celiac Disease Image Classification using Convolutional Neural NetworkSemantic proximity Read

Intraepithelial Lymphocytes and LAIR1 Expression in Celiac DiseaseSemantic proximity Read

Developing a blood cell-based diagnostic test for myalgic encephalomyelitis/chronic fatigue syndrome using peripheral blood mononuclear cellsSemantic proximity Read

Volumetric visceral fat machine learning phenotype on CT for differential diagnosis of inflammatory bowel disease.Semantic proximity Read

Shedding Light on Colorectal Cancer: An In Vivo Raman Spectroscopy Approach Combined with Deep Learning AnalysisSemantic proximity Read

Characterizing Variability of In Vivo Raman Spectroscopic Properties of Different Anatomical Sites of Normal Colorectal Tissue towards Cancer Diagnosis at ColonoscopySemantic proximity Read

Near-infrared Raman spectroscopy for early diagnosis and typing of adenocarcinoma in the stomachSemantic proximity Read

Identification of extracellular vesicles from theirRaman spectra via self-supervised learningSemantic proximity Read

FTIR spectroscopy combined with machine learning reveals molecular signatures distinguishing three phenotypes of endometriosis.Semantic proximity Read

Machine Learning for Affordable Diagnosis of SARS-COV-2 from Hematological and Biochemical TestsSemantic proximity Read

Interpretable Machine Learning based Detection of Coeliac DiseaseSemantic proximity Read