New concept for colonoscopy including side optics and artificial intelligence

Troya, Joel; Krenzer, Adrian; Flisikowski, Krzysztof; Jeromin, Marvin; Sudarevic, Boban; Banck, Michael; Hann, Alexander; Meining, Alexander

doi:10.1016/j.gie.2021.12.003

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…The pig model is not intended to substitute the mouse models, but rather to fill the gap for translating findings to the clinic. The value of pig models for digestive disease research has been frequently demonstrated, 9 , 56 , 57 and the TNF ΔARE pigs will undoubtedly become an important asset for patient-relevant translational CD studies.…”

Section: Discussionmentioning

confidence: 99%

TNF ΔARE Pigs: A Translational Crohn’s Disease Model

Winogrodzki

Metwaly

Grodziecki

et al. 2023

Journal of Crohn's and Colitis

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Background and Aims Crohn’s Disease (CD) is a major subtype of inflammatory bowel diseases (IBD) with increasing incidence and prevalence. Results of studies using available small and large animal models are often poorly translatable to patients, and few CD models show small intestinal pathology. Due to its similarities to humans, the swine has emerged as a highly suitable translational disease model, particularly for testing novel nutritional and technological interventions. Our goal was to develop a physiologically relevant porcine CD model to facilitate translation of findings and interventions towards the clinic. Methods We generated pigs bearing a 93 bp deletion of the adenosine-uracil-rich element (ARE) and a constitutive-decay element within the 3’UTR of the TNF gene. Comparative analysis of physiological, molecular, histological and microbial characteristics was performed between wild-type, TNF ΔARE/+ and TNF ΔARE/ΔARE animals. Alterations in the microbiome were compared to the TNFΔARE mouse model and IBD patients. Results TNF ΔARE pigs recapitulate major characteristics of human CD, including ulcerative transmural ileocolitis, increased abundance of proinflammatory cytokines, immune cell infiltration, and dysbiotic microbial communities. 16s rRNA gene amplicon sequencing revealed enrichment in members belonging to Megasphaera, Campylobacter, Desulfovibrio, Alistipes, and Lachnoclostridum in faecal or mucosa-associated bacteria compared to wild-type littermates. PCA-clustering with a subset of TNFΔARE/+ mice and human IBD patients suggests microbial similarity based on disease severity. Conclusions We demonstrate that the TNFΔARE pig resembles a CD-like ileocolitis pathophenotype recapitulating human disease. The ability to conduct long-term studies and test novel surgical procedures and dietary interventions in a physiologically relevant model will benefit future translational IBD research studies.

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Section: Discussionmentioning

confidence: 99%

TNF ΔARE Pigs: A Translational Crohn’s Disease Model

Winogrodzki

Metwaly

Grodziecki

et al. 2023

Journal of Crohn's and Colitis

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“…The similarity in anatomical size between the pig and human GI tract also allows for testing and advancing endoscopic techniques, particularly for colonoscopies. In fact, the pig APC 1311 model has been used in the development of cathepsin protease-activatable probe for fluorescence-guided endoscopy [ 79 ], fluorescent silica nanoparticles-guided detection of colorectal adenomas using video-rate fluorescence-assisted white-light endoscopy [ 80 ], and to train artificial intelligence to detect more adenomas [ 81 ]. Colonoscopies are imperative in the early detection of colonic dysplasia [ 30 , 75 ].…”

Section: Porcine Models Of Cancermentioning

confidence: 99%

Pigs: Large Animal Preclinical Cancer Models

Joshi,

Katam,

Hegde

et al. 2024

World J Oncol

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Pigs are playing an increasingly vital role as translational biomedical models for studying human pathophysiology. The annotation of the pig genome was a huge step forward in translatability of pigs as a biomedical model for various human diseases. Similarities between humans and pigs in terms of anatomy, physiology, genetics, and immunology have allowed pigs to become a comprehensive preclinical model for human diseases. With a diverse range, from craniofacial and ophthalmology to reproduction, wound healing, musculoskeletal, and cancer, pigs have provided a seminal understanding of human pathophysiology. This review focuses on the current research using pigs as preclinical models for cancer research and highlights the strengths and opportunities for studying various human cancers.

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“…Adenomas of the colorectum have been shown [54] to be highly correlated with colorectal cancer. Several studies have recently developed different AI models for improving adenoma detection rates [32,[55][56][57][58][59][60][61][62]. To predict the polyp class, two DL models, SEG and noSEG, were trained using 3D CT colonography image subvolumes.…”

Section: Tumor Screening and Early Detectionmentioning

confidence: 99%

“…Model SEG was also trained using polyp segmentation masks [56]. Joel Troya et al [58] combined side optics with AI. Hong Xu et al [60] invented an AI polyp detection system (Eagle-Eye) with real-time notification on the same monitor of the endoscopy system.…”

Section: Tumor Screening and Early Detectionmentioning

confidence: 99%

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment

Zhang,

Xu,

Tang

et al. 2023

J Hematol Oncol

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Research into the potential benefits of artificial intelligence for comprehending the intricate biology of cancer has grown as a result of the widespread use of deep learning and machine learning in the healthcare sector and the availability of highly specialized cancer datasets. Here, we review new artificial intelligence approaches and how they are being used in oncology. We describe how artificial intelligence might be used in the detection, prognosis, and administration of cancer treatments and introduce the use of the latest large language models such as ChatGPT in oncology clinics. We highlight artificial intelligence applications for omics data types, and we offer perspectives on how the various data types might be combined to create decision-support tools. We also evaluate the present constraints and challenges to applying artificial intelligence in precision oncology. Finally, we discuss how current challenges may be surmounted to make artificial intelligence useful in clinical settings in the future.

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New concept for colonoscopy including side optics and artificial intelligence

Cited by 8 publications

References 11 publications

TNF ΔARE Pigs: A Translational Crohn’s Disease Model

TNF ΔARE Pigs: A Translational Crohn’s Disease Model

Pigs: Large Animal Preclinical Cancer Models

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment

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