Results 1 to 10 of about 53,413 (74)

Esophageal virtual disease landscape using mechanics-informed machine learning [PDF]

Artificial Intelligence in Medicine. 134 (2022) 102435, 2021
The pathogenesis of esophageal disorders is related to the esophageal wall mechanics. Therefore, to understand the underlying fundamental mechanisms behind various esophageal disorders, it is crucial to map the esophageal wall mechanics-based parameters onto physiological and pathophysiological conditions corresponding to altered bolus transit and ...
arxiv   +1 more source

A multi-stage machine learning model on diagnosis of esophageal manometry [PDF]

Artificial Intelligence in Medicine,Volume 124, February 2022, 102233, 2021
High-resolution manometry (HRM) is the primary procedure used to diagnose esophageal motility disorders. Its interpretation and classification includes an initial evaluation of swallow-level outcomes and then derivation of a study-level diagnosis based on Chicago Classification (CC), using a tree-like algorithm.
arxiv   +1 more source

MRI-MECH: Mechanics-informed MRI to estimate esophageal health [PDF]

Frontiers in Physiology. 14 (2023), 2022
Dynamic magnetic resonance imaging (MRI) is a popular medical imaging technique to generate image sequences of the flow of a contrast material inside tissues and organs. However, its application to imaging bolus movement through the esophagus has only been demonstrated in few feasibility studies and is relatively unexplored.
arxiv   +1 more source

Mechanics Informed Fluoroscopy of Esophageal Transport [PDF]

Biomechanics and Modeling in Mechanobiology. 20 (2021) 925-940, 2020
Fluoroscopy is a radiographic procedure for evaluating esophageal disorders such as achalasia, dysphasia and gastroesophageal reflux disease (GERD). It performs dynamic imaging of the swallowing process and provides anatomical detail and a qualitative idea of how well swallowed fluid is transported through the esophagus.
arxiv   +1 more source

Optimal motility strategies for self-propelled agents to explore porous media [PDF]

Phys. Rev. E 108, 054401, 2023, 2023
Micro-robots for, e.g., biomedical applications, need to be equipped with motility strategies that enable them to navigate through complex environments. Inspired by biological microorganisms we recreate motility patterns such as run-and-reverse, run-and-tumble or run-reverse-flick applied to active rod-like particles in silico.
arxiv   +1 more source

Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy [PDF]

, 2023
Radiotherapy (RT) toxicities can impair survival and quality-of-life, yet remain under-studied. Real-world evidence holds potential to improve our understanding of toxicities, but toxicity information is often only in clinical notes. We developed natural language processing (NLP) models to identify the presence and severity of esophagitis from notes of
arxiv   +1 more source

Cell motility as an energy minimization process [PDF]

, 2021
The dynamics of active matter driven by interacting molecular motors has a non-potential structure at the local scale. However, we show that there exists a quasi-potential effectively describing the collective self-organization of the motors propelling a cell at a continuum active gel level.
arxiv   +1 more source

Motile dissenters disrupt the flocking of active granular matter [PDF]

Phys. Rev. E 101, 052615 (2020), 2020
We report flocking in the dry active granular matter of millimeter-sized two-step-tapered rods without an intervening medium. The system undergoes the flocking phase transition at a threshold area fraction ~ 0.12 having high orientational correlations between the particles.
arxiv   +1 more source

Motility induced phase separation of deformable cells [PDF]

, 2023
Using a multi-phase field model, we examine how particle deformability, which is a proxy for cell stiffness, affects motility induced phase separation (MIPS). We show that purely repulsive deformable, i.e., squishy, cells phase separate more effectively than their rigid counterparts.
arxiv   +1 more source

Motility versus fluctuations in mixtures of self-propelled and passive agents [PDF]

Soft Matter 10, 9082, 2014, 2014
Many biological systems consist of self-motile and passive agents both of which contribute to overall functionality. However, there are very few studies of the properties of such mixtures. Here we formulate a model for mixtures of self-motile and passive agents and show that the model gives rise to three different dynamical phases: a disordered ...
arxiv   +1 more source