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Concept

Medical literature

Publications associées (19)

Iron-carbohydrate complexes treating iron anaemia: Understanding the nano-structure and interactions with proteins through orthogonal characterisation

Antonia Neels, Marianne Liebi, Tiberiu Totu

Intravenous (IV) iron-carbohydrate complexes are widely used nanoparticles (NPs) to treat iron deficiency anaemia, often associated with medical conditions such as chronic kidney disease, heart failure and various inflammatory conditions. Even though a ple ...

Elsevier2024

Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records

Silvestro Micera

Amyloidosis refers to a range of medical conditions in which misshapen proteins accumulate in various organs and tissues, forming insoluble fibrils. Cardiac amyloidosis is frequently linked to the buildup of misfolded transthyretin (TTR) or immunoglobulin ...

IEEE2023

From Nano to Macro An overview of the IEEE Bio Image and Signal Processing Technical Committee

Michaël Unser, Dimitri Nestor Alice Van De Ville, Michael Stefan Daniel Liebling

The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities within the broad technical field of biomedical image and signal processing. Areas of interest include medical and biological ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Explainability as fig leaf? An exploration of experts’ ethical expectations towards machine learning in psychiatry

Georg Michael Joachim Starke

The increasing implementation of programs supported by machine learning in medical contexts will affect psychiatry. It is crucial to accompany this development with careful ethical considerations informed by empirical research involving experts from the fi ...

2023

Machine learning and its impact on psychiatric nosology: Findings from a qualitative study among German and Swiss experts

Georg Michael Joachim Starke

The increasing integration of Machine Learning (ML) techniques into clinical care, driven in particular by Deep Learning (DL) using Artificial Neural Nets (ANNs), promises to reshape medical practice on various levels and across multiple medical fields. Mu ...

2023

Design and Preparation of Sensing Surfaces for Capacitive Biodetection

Sandrine Gerber, Perrine Agnes Edith Robin

Despite their high sensitivity and their suitability for miniaturization, biosensors are still limited for clinical applications due to the lack of reproducibility and specificity of their detection performance. The design and preparation of sensing surfac ...

2023

Gel-Free Wearable Electroencephalography (EEG) with Soft Graphene Textiles

Ata Jedari Golparvar

Attaching rigid wearables to ones skin may be socially challenging to be accustomed since their wearers may feel vulnerable with compromising their privacy, especially if the device is for tracking neurological or medical conditions. The development of fle ...

IEEE2021

MedCo(2): Privacy-Preserving Cohort Exploration and Analysis

Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, David Jules Froelicher, Mickaël Misbach

Medical studies are usually time consuming, cumbersome and extremely costly to perform, and for exploratory research, their results are also difficult to predict a priori. This is particularly the case for rare diseases, for which finding enough patients i ...

IOS PRESS2020

Multidisciplinary Approach to Treat Erectile Dysfunction

Mikaël Nils Sturny

Erectile dysfunction (ED) is a widespread disease affecting approximately 20% of men. With a rising incidence due to the global ageing of the world population, it is estimated that over 322 million patients will be affected in 2025. While not being a lifet ...

EPFL2020

Neural network training for cross-protocol radiomic feature standardization in computed tomography

Adrien Raphaël Depeursinge

Radiomics has shown promising results in several medical studies, yet it suffers from a limited discrimination and informative capability as well as a high variation and correlation with the tomographic scanner types, pixel spacing, acquisition protocol, a ...

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS2019

Privacy-Enhancing Technologies for Medical and Genomic Data: From Theory to Practice

Jean Louis Raisaro

The impressive technological advances in genomic analysis and the significant drop in the cost of genome sequencing are paving the way to a variety of revolutionary applications in modern healthcare. In particular, the increasing understanding of the human ...

EPFL2018

3-Dimensional Ultrasound Imaging for Medical Telesonography: Algorithms and Architectures

Aya Mohamed Naguib Ahmed Ibrahim

Enabling telemedicine in Ultrasound (US) imaging, i.e. telesonography, is until today just a wish. Although US has incomparable advantages such as safety in use, lower cost and complexity, and capability to be utilized in many applications, it is limited i ...

EPFL2018

Privacy - Preserving Data Exchange and Aggregation in Healthcare

Alevtina Dubovitskaya

Medical data are often scattered among multiple clinics, hospitals, insurance companies, pharmacies, and research institutions that store and process personal healthcare information. The use of information and communication technologies for health (eHealth ...

EPFL2018

Inexpensive 1024-Channel 3D Telesonography System on FPGA

Jean-Philippe Thiran, Giovanni De Micheli, Federico Angiolini, Aya Mohamed Naguib Ahmed Ibrahim, Marcel Arditi, Damien Doy

Volumetric ultrasound (US) is a very promising development of medical US imaging. An under-exploited advantage of volumetric US is the mitigation of the strict probe positioning constrains necessary to acquire 2D scans, potentially allowing the decoupling ...

IEEE2017

Circulation of Opinions in Visualization Reading

Dario Rodighiero

Visualizations need interpretation as a way to grasp the meaning of visual representation. They are complex, and often the process of creation is hidden to the public. Because of this, the following text illustrates a way to read the visual representation ...

CEUR.WS.org2016

Multiple Comparison Procedures for Large Correlated Data with Application to Brain Connectivity Analysis

Djalel Eddine Meskaldji

Recent developments in medical imaging and image analysis allow the determination of interregional brain connectivity through diffusion Magnetic Resonance Imaging (MRI) tractography. The brain connectivity is represented by a connection matrix where each c ...

EPFL2013

Portable Technologies for Self-Monitoring of Coagulation Time: A Review

Philippe Renaud, Lynda Metref

Anti-coagulation treatments are required for medical conditions that become more and more frequent with the ageing of the population in developed countries (atrial fibrillation, deep-venous thrombosis, heart prosthetic valves, etc.). These treatments gener ...

2012

Fast 3D Model Update for the Compensation of Soft Tissue Deformation in Image Guided Liver Surgery

Today, the use of computer assistance to guide surgeon's gestures becomes increasingly common for interventions on rigid organs such as the hips and vertebrae. Guidance information is provided through the representation of the position of surgical instrume ...

EPFL2010

Caractérisation de la génération et la propagation d'ondes de pressions dans des tissus biologiques pour la conception d'appareils médicaux

Mathieu Benoit

Therapies using so called extracorporeal shock waves (Extracorporeal Shock Wave Therapy ESWT) have become current medical practice in orthopedy and traumatology. In order to understand and to optimize the effect of shock waves in clinical applications, med ...

EPFL2009