Special Issue: "Novel Diagnosis and Treatment of Gastrointestinal Disease". [PDF]
Georgescu D, Bratosin F.
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To address challenges in high‐throughput intestinal sampling with sealed containment and target drug delivery, we developed a dual‐functional ingestible passive capsule with a dual‐triggered control system based on pH‐response and mechanical actuation.
Libing Huang+9 more
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Nanomaterial‐Based Optical Biosensors for SARS‐CoV‐2 Detection: A Retrospective of the Pandemic
This review discusses nanomaterial‐based optical biosensors developed for or adapted to the detection of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). It concludes by providing a perspective on how lessons learned during the coronavirus disease of 2019 (COVID‐19) pandemic may be applied for future research on nanomaterial‐based ...
Flavie Martin+2 more
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Heterogeneity Landscape of Circulating Tumor Cells in Clinical Utility
This study reports the heterogeneity spectrum of circulating tumor cells. The factors involved in the spectrum promote CTCs to overcome barriers in the metastatic cascade but impact the clinical outcome of cancer patients. In summary, the heterogeneities in association with CTCs ultimately reduce patient survival and facilitate increasing mortality of ...
Md Kowsar Alam+5 more
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Understanding miR‐200c: an Important Player in Resistance to Cancer Treatment
How can one microRNA alter cancer's response to therapy? miR‐200c plays a central role in therapeutic resistance by modulating epithelial‐mesenchymal transition, apoptosis, cancer stemness features, and drug efflux. This review outlines the context‐dependent functions of miR‐200c in various cancers and highlights its potential as both a biomarker and a
Fatma Sanli, Omer Faruk Karatas
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High dietary live microbe intake associated with reduced depressive symptoms in gastrointestinal disease patients: findings from a cross-sectional study. [PDF]
Zhang C, Ma MH, Li K, Xu SN, Liu Y.
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CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang+13 more
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Approach to anaemia in gastrointestinal disease: A position paper by the ESPGHAN Gastroenterology Committee. [PDF]
Broekaert IJ+12 more
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Pleural effusion due to nonmalignant gastrointestinal disease. [PDF]
Ferreiro L+8 more
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