AIMC Topic: Gastrointestinal Tract
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MAPGI: Accurate identification of anatomical landmarks and diseased tissue in gastrointestinal tract using deep learning.
Computers in biology and medicine
Jul 10, 2019
Automatic detection of anatomical landmarks and diseases in medical images is a challenging task which could greatly aid medical diagnosis and reduce the cost and time of investigational procedures. Also, two particular challenges of digital image pr...
A Novel Relative Position Estimation Method for Capsule Robot Moving in Gastrointestinal Tract.
Sensors (Basel, Switzerland)
Jun 19, 2019
Recently, a variety of positioning and tracking methods have been proposed for capsule robots moving in the gastrointestinal (GI) tract to provide real-time unobstructed spatial pose results. However, the current absolute position-based result cannot...
Appetite ratings of foods are predictable with an in vitro advanced gastrointestinal model in combination with an in silico artificial neural network.
Food research international (Ottawa, Ont.)
Mar 25, 2019
The expected increase of global obesity prevalence makes it necessary to have information about the effects of meal intakes on the feeling of appetite. Because human clinical studies are time and cost intensive, there is a need for a reliable alterna...
Functional brain networks and neuroanatomy underpinning nausea severity can predict nausea susceptibility using machine learning.
The Journal of physiology
Feb 27, 2019
KEY POINTS: Nausea is an adverse experience characterised by alterations in autonomic and cerebral function. Susceptibility to nausea is difficult to predict, but machine learning has yet to be applied to this field of study. The severity of nausea t...
Effect of the in vitro gastrointestinal digestion on free-phenolic compounds and mono/oligosaccharides from Moringa oleifera leaves: Bioaccessibility, intestinal permeability and antioxidant capacity.
Food research international (Ottawa, Ont.)
Nov 10, 2018
Moringa oleifera is a plant recognized for its compounds such as dietary fiber (oligosaccharides, amongst others) and polyphenols, with biological activities. These properties depend on bioactive compounds (BC) interactions with food matrix/digestion...
In vitro and in vivo resistance of Lactobacillus rhamnosus GG carried by a mixed pineapple (Ananas comosus L. Merril) and jussara (Euterpe edulis Martius) juice to the gastrointestinal tract.
Food research international (Ottawa, Ont.)
Oct 4, 2018
This study evaluated the viability of Lactobacillus rhamnosus GG (LGG) and its in vitro and in vivo resistance to the gastrointestinal tract (GIT) when carried by a mixed fermented pineapple and jussara juice. The effects of product ingestion on the ...
Identification and characterization of antioxidative peptides derived from simulated in vitro gastrointestinal digestion of walnut meal proteins.
Food research international (Ottawa, Ont.)
Aug 23, 2018
The aim of this study was to isolate and identify antioxidant peptides from defatted walnut meal proteins hydrolysates (DWMPH) prepared by simulated gastrointestinal digestion, and to evaluate the protective effect of the selected antioxidant peptide...
Nanocomplexes composed of chitosan derivatives and β-Lactoglobulin as a carrier for anthocyanins: Preparation, stability and bioavailability in vitro.
Food research international (Ottawa, Ont.)
Aug 22, 2018
To improve sustained-release property, stability and bioavailability of anthocyanins (ACNs) in vitro, we fabricated the nanocomplexes with chitosan hydrochloride (CHC), carboxymethyl chitosan (CMC) and β-Lactoglobulin (β-Lg). Response surface methodo...
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.
IEEE transactions on medical imaging
May 15, 2018
This paper proposes a novel methodology for automatic detection and localization of gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed with weakly annotated images, using only image-level, semantic labels inste...
The addition of inulin and Lactobacillus casei 01 in sheep milk ice cream.
Food chemistry
Dec 5, 2017
The effect of the Lactobacillus casei 01 and inulin addition on sheep milk ice cream during storage (-18 °C, 150 days) was investigated. Control, probiotic and synbiotic ice cream (10% w/w sheep milk cream; 10% w/w sheep milk cream, L. casei 01, 6 lo...
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