Publications related to Ambulatory care

The role of computational methods in cardiovascular medicine: a narrative review

Alfio Quarteroni, Luca Dede', Christian Vergara, Stefano Pagani

Background and Objective: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data wi ...

Ame Publishing Company2024

Plasma biomarkers for Alzheimer's disease: a field-test in a memory clinic

Aurélien Lathuilière

Background The key Alzheimer's disease (AD) biomarkers are traditionally measured with techniques/exams that are either expensive (amyloid-positron emission tomography (PET) and tau-PET), invasive (cerebrospinal fluid A beta 42 and p-tau 181), or poorly sp ...

BMJ PUBLISHING GROUP2023

ERS International Congress 2022: highlights from the Respiratory Clinical Care and Physiology Assembly

Sophie Jacqueline Andrée Betka

It is a challenge to keep abreast of all the clinical and scientific advances in the field of respiratory medicine. This article contains an overview of the laboratory-based science, clinical trials and qualitative research that were presented during the 2 ...

EUROPEAN RESPIRATORY SOC JOURNALS LTD2023

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

Silvestro Micera, Sara Mazzucato

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

Re-focusing explainability in medicine

Using artificial intelligence to improve patient care is a cutting-edge methodology, but its implementation in clinical routine has been limited due to significant concerns about understanding its behavior. One major barrier is the explainability dilemma a ...

2022

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Francesco La Rosa

Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system and affects almost 3 million people worldwide. There is currently no cure for MS, and its symptoms, starting with fatigue and weakness, often progress over time ...

EPFL2022

Approximate Zero-Crossing: A new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection

David Atienza Alonso, Tomas Teijeiro Campo, Una Pale, Renato Zanetti

Objective: Long-term monitoring of people with epilepsy based on electroencephalography (EEG) and intracranial EEG (iEEG) has the potential to deliver key clinical information for personalised epilepsy treatment. More specifically, in outpatient settings, ...

2022

Development and validation of a multiplex real-time qPCR assay using GMP-grade reagents for leprosy diagnosis

Stewart Cole, Charlotte Avanzi, Thyago Leal Calvo

Author summaryLeprosy is a chronic dermato-neurological disease caused by Mycobacterium leprae, an obligate intracellular bacterium. Diagnosis of leprosy often relies on skin examinations for clinical signs, bacilli staining from skin smears and invasive s ...

PUBLIC LIBRARY SCIENCE2022

Next-generation cancer organoids

Matthias Lütolf, Nicolas Antoine Vincent Broguiere

Organotypic models of patient-specific tumours are revolutionizing our understanding of cancer heterogeneity and its implications for personalized medicine. These advancements are, in part, attributed to the ability of organoid models to stably preserve ge ...

NATURE PORTFOLIO2022

Noninvasive detection of focal seizures in ambulatory patients

David Atienza Alonso, Leila Cammoun

Reliably detecting focal seizures without secondary generalization during daily life activities, chronically, using convenient portable or wearable devices, would offer patients with active epilepsy a number of potential benefits, such as providing more re ...

2020

Nanoparticle-enhanced Imaging Based Plasmonic Biosensor

Alexander Belushkin

Efficient medical care fundamentally relies on the ability to provide a timely and accurate diagnosis. Thanks to advances in biomedical research, specific molecules called diagnostic molecular biomarkers have been discovered in the human body that help ind ...

EPFL2020

Gait analysis in children with cerebral palsy: bridging the gap between the laboratory and real life

Lena Carcreff

Like 17 million people worldwide, an individual with cerebral palsy (CP) does not have the opportunity to walk harmoniously in society due to long-life impairments in movement and posture. The natural course of CP can be modulated by treatments and therapi ...

EPFL2020

Integrated Nanophotonic Biosensors for Point-of Care Diagnostics and Bioanalytical Applications

Hatice Altug, Xiaokang Li, Filiz Yesilköy, Alexander Belushkin, Yasaman Jahani

In an effort to address the requirements of next-generation healthcare systems, including personalized medicine, point-of-care diagnostics, and global health surveillance, I will introduce imaging-based portable nanoplasmonic biosensors integrated with mic ...

IEEE2019

Relative Effects of the Hospital Readmissions Reduction Program on Hospitals That Serve Poorer Patients

Yun Wang, Christine Choirat

Importance: Hospitals that serve poorer populations have higher readmission rates. It is unknown whether these hospitals effectively lowered readmission rates in response to the Hospital Readmissions Reduction Program (HRRP). Objective: To compare pre-post ...

2019

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm *

David Atienza Alonso, Jean-Marc Vesin, Sasan Yazdani, Lara Orlandic, Adriana Arza Valdes, Elisabetta De Giovanni

Wearable devices are an unobtrusive, cost-effective means of continuous ambulatory monitoring of chronic cardiovascular diseases. However, on these resource-constrained systems, electrocardiogram (ECG) processing algorithms must consume minimal power and m ...

2019

IoT for Telemedicine Practices enabled by an Android (TM) Application with Cloud System Integration

Sandro Carrara, Francesca Stradolini, Abuduwaili Tuoheti, Danilo Demarchi, Nadia Tamburrano, Thiébaud Modoux

Connected medical devices are already paving the way towards the realization of Smart Hospitals where patient care is improved thanks to Internet of Things (IoT) solutions. Following this trend, in this paper we propose an IoT cloud-based network for anest ...

IEEE2018

Governance of Trust in Precision Medicine

Marie-Valentine Renée Agnès Florin, Kujtesë Bejtullahu Michalopoulos

Following up a two-day invitation-only expert workshop in Geneva on the subject of Trust and Precision Medicine, IRGC published a workshop report in April 2018. This report addresses the concept of trust and conditions of trustworthiness in each of the thr ...

EPFL International Risk Governance Center2018

Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors

David Atienza Alonso, Amir Aminifar, Francisco Javier Rincon Vallejos, Srinivasan Murali, Grégoire Casimir Joseph Surrel

Obstructive Sleep Apnea (OSA) is one of the main under-diagnosed sleep disorder. It is an aggravating factor for several serious cardiovascular diseases, including stroke. There is, however, a lack of medical devices for long-term ambulatory monitoring of ...

2018

Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices

David Atienza Alonso, Amir Aminifar, Dionisije Sopic

Continuous monitoring of patients suffering from cardiovascular diseases and, in particular, myocardial infarction (MI) places a considerable burden on health-care systems and government budgets. The rise of wearable devices alleviates this burden, allowin ...

IEEE2017

Touch-Based System for Beat-to-Beat Impedance Cardiogram Acquisition and Hemodynamic Parameters Estimation

David Atienza Alonso, Francisco Javier Rincon Vallejos, Srinivasan Murali, Dionisije Sopic

Among all cardiovascular diseases, congestive heart failure (CHF) has a very high rate of hospitalization and mortality. In order to prevent hospitalization, there is a strong need to identify patients at risk of a CHF event by estimating a set of relevant ...

IEEE/ACM Press2016