Publications related to Decoding bladder state from pudendal intraneural signals in pigs

Related publications (43)

High-Resolution Predictions of the Fuel and Cladding Temperatures for the 3D PWR Core with Artificial Neural Networks trained on CTF

High resolution multi-physics core solvers predict safety parameters on a local scale with high accuracy while simulating local heterogeneities and their consequences. To achieve this, large computational resources are needed which renders the extensive us ...

American Nuclear Society2025

System for micturition control in a mammal with bladder disfunction

Grégoire Courtine, Jocelyne Bloch, Jordan Squair, Loïs Thomas Romain Mahe

The present invention relates to a neuromodulation/neurostimulation system (10) for stimulating at least one neuronal circuitry responsible for micturition control in a mammal with bladder disfunction, especially for bladder relaxation and/or for bladder v ...

2024

An artificial urinary sphincter based on dielectric elastomer technology

Sloan Zammouri, Yves Perriard, Yoan René Cyrille Civet, Stefania Maria Aliki Konstantinidi, Amine Benouhiba, Quentin Philippe Mario De Menech

Urinary incontinence (UI) is prevalent and distressing medical condition affecting millions of patients worldwide. Current treatment options for severe cases often involve surgical intervention, such as the implantation of an artificial urinary sphincter ( ...

Society of Photo-Optical Instrumentation Engineers (SPIE)2024

Coupled Electromagnetic-Electrophysiological Modeling of Neural Circuits

Joseph Tharayil

Much of our knowledge about the brain is derived from extracellular recordings of the electric fields produced by neural activity. However, interpretation of these signals is nontrivial. In par- ticular, it is difficult to link macro-scale observations of ...

EPFL2024

Neural circuits of idiopathic Normal Pressure Hydrocephalus: A perspective review of brain connectivity and symptoms meta-analysis

Dimitri Nestor Alice Van De Ville, Alessandra Griffa

Idiopathic normal pressure hydrocephalus (iNPH) is a prevalent reversible neurological disorder characterized by impaired locomotion, cognition and urinary control with ventriculomegaly. Symptoms can be relieved with cerebrospinal fluid drainage, which mak ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Transformers and Large Language Models for Chemistry and Drug Discovery

Philippe Schwaller, Andres Camilo Marulanda Bran

Language modeling has seen impressive progress over the last few years. The invention of the Transformer architecture sparked a revolution in many fields of machine learning, including breakthroughs in chemistry and biology. In this chapter, we explore how ...

Springer Nature2024

Biodegradation and Antimicrobial Properties of Zinc Oxide-Polymer Composite Materials for Urinary Stent Applications

Lorenzo Lucherini

Research advancements in the field of urinary stents have mainly been in the selection of materials and coatings to address commonly faced problems of encrustation and bacterial adhesion. In this study, polylactic acid (PLA) and polypropylene (PP) were eva ...

2020

Development of a biologically inspired in-vitro platform for long-term assessment of commercial and innovative ureteral stents

Yves Perriard, Yoan René Cyrille Civet, Francesco Clavica

Ureteral stents are small flexible tubes which are clinically used to restore the urine drainage in presence of obstructions of the ureteral lumen such as tumours, kidney/ureteral stones. The lifetime risk of developing urinary stones is about 20% in men a ...

2019

Mechanical Characterisation of Porcine Urethra: Non Linear Constitutive Models and Experimental Approach

Yves Perriard, Yoan René Cyrille Civet, Thomas Guillaume Martinez, Stefania Maria Aliki Konstantinidi, Amine Benouhiba, Quentin Philippe Mario De Menech

Low urinary tract dysfunctions and symptoms (LUTS) and Urinary incontinence (UI) in particular is a medical condition that affects millions of people worldwide. One of the most promising long term treatments for this condition is the use of an artificial u ...

IEEE2023

Bayesian reconstruction of memories stored in neural networks from their connectivity

Lenka Zdeborová, Florent Gérard Krzakala

The advent of comprehensive synaptic wiring diagrams of large neural circuits has created the field of connectomics and given rise to a number of open research questions. One such question is whether it is possible to reconstruct the information stored in ...

2023

Impedance pumping as a non-invasive treatment for underactive bladder? An ex-vivo proof-of-concept-study in porcine bladders

Yves Perriard, Yoan René Cyrille Civet, Francesco Clavica

In patients suffering from underactive bladder (UAB), the contraction of the detrusor muscle has insufficient strength or duration to ensure efficient bladder emptying. Although catheterisation is currently the most effective method to empty the bladder, i ...

2019

Structured cerebellar connectivity supports resilient pattern separation

Ilaria Ricchi

The cerebellum is thought to help detect and correct errors between intended and executed commands(1,2) and is critical for social behaviours, cognition and emotion 3 Computations for motor control must be performed quicklyto correct errors in real time an ...

NATURE PORTFOLIO2023

Urine-Contactless Device to Empty Bladders: an Ex-Vivo Proof-of-Concept Study in Porcine Bladders

Yves Perriard, Yoan René Cyrille Civet, Francesco Clavica

Current treatments for underactive bladder (UAB) have negative side effects, such as urinary tract infections, mainly because devices used for bladder emptying are in direct contact with urine (e.g. permanent or intermittent catheterisation). Moreover, mos ...

Wiley2019

Bladder Cancer Photodynamic Therapeutic Agent with Off-On Magnetic Resonance Imaging Enhancement

Jean-Claude Bünzli

Acting as an extracellular matrix protein receptor, alpha(v)beta(3) integrin becomes an appealing target for photodynamic therapy of bladder cancer. Here, specific alpha(v)beta(3)-integrin-targeting porphyrinato-gadolinium complexes (Gd-PEG-R-n) are demons ...

WILEY2019

Distributed Optimization with Byzantine Robustness Guarantees

Lie He

As modern machine learning continues to achieve unprecedented benchmarks, the resource demands to train these advanced models grow drastically. This has led to a paradigm shift towards distributed training. However, the presence of adversariesâ whether ma ...

EPFL2023

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

Alfio Quarteroni, Andrea Manzoni

Reducing the computational time required by high-fidelity, full-order models (FOMs) for the solution of problems in cardiac mechanics is crucial to allow the translation of patient-specific simulations into clinical practice. Indeed, while FOMs, such as th ...

Wiley2023

Sensory feedback restoration in leg amputees improves walking speed, metabolic cost and phantom pain

Silvestro Micera, Stanisa Raspopovic, Giacomo Valle, Francesco Maria Petrini

Conventional leg prostheses do not convey sensory information about motion or interaction with the ground to aboveknee amputees, thereby reducing confidence and walking speed in the users that is associated with high mental and physical fatigue(1-4). The l ...

2019

Neuromodulation in the restoration of function after spinal cord injury

Nicholas David James

Neuromodulation, the use of electrical interfaces to alter neuronal activity, has been successful as a treatment approach in several neurological disorders, including deep brain stimulation for Parkinson's disease and epidural spinal stimulation for chroni ...

2018

Novel Concept Enabling an Old Idea: A Flexible Electrode Array to Treat Neurogenic Erectile Dysfunction

Nikolaos Stergiopoulos, Rodrigo Araujo Fraga Da Silva, Mikaël Nils Sturny

Introduction: Many studies have shown that electrostimulation of the cavernosal nerve can induce and maintain penile erection. Based on these discoveries, neurostimulation to activate the erectile response has been considered a potential solution to treat ...

ELSEVIER SCI LTD2018

NeuralTree: A 256-Channel 0.227-mu J/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC

Stéphanie Lacour, Mahsa Shoaran, Bingzhao Zhu, Uisub Shin, Alix Esther Anne Trouillet, Cong Ding, Emilie Cornelia Maria Revol, Yashwanth Sai Reddy Vyza

Closed-loop neural interfaces with on-chip machine learning can detect and suppress disease symptoms in neurological disorders or restore lost functions in paralyzed patients. While high-density neural recording can provide rich neural activity information ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022