Publications related to Self-care

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

Yves Perriard, Yoan René Cyrille Civet, Paolo Germano, Christian Köchli, Sofia Lydia Ntella, Kenny Jeanmonod, Bhawnath Tiwari

Plantar pressure plays a crucial role in the pathogenesis of foot ulcers among patients with diabetes and peripheral polyneuropathy. Pressure relief is a key requirement for both the prevention and treatment of plantar ulcers. Conventional medical practice ...

2024

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

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home

Delphine Ribes Lemay, Nicolas Henchoz, Emily Clare Groves, Margherita Motta, Andrea Regula Schneider

Self-tracking technologies open new doors to previously unimaginable scenarios. The diagnosis of diseases years in advance, or supporting the health of astronauts on missions to Mars are just some of many example applications. During the COVID-19 pandemic, ...

2023

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 ...

New York2023

A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program

Francesco Mondada, Helena Kovacs, Jean-Philippe Pellet, Barbara Bruno, Laila Abdelsalam El-Hamamsy

Context: Introducing Computer Science (CS) into formal education can be challenging, notably when considering the numerous stakeholders involved which include the students, teachers, schools, and policy makers. We believe these perspectives should be con ...

2023

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

Tobias Kober

Objectives Fluid and white matter suppression (FLAWS) is a recently proposed magnetic resonance sequence derived from magnetization-prepared 2 rapid acquisition gradient-echo providing 2 coregistered datasets with white matter- and cerebrospinal fluid-supp ...

LIPPINCOTT WILLIAMS & WILKINS2022

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Nahal Mansouri, Sahand Jamal Rahi

Background: Early prediction of symptoms and mortality risks for COVID-19 patients would improve healthcare outcomes, allow for the appropriate distribution of healthcare resources, reduce healthcare costs, aid in vaccine prioritization and self-isolation ...

FRONTIERS MEDIA SA2021

Evaluation of 1-Year in-Home Monitoring Technology by Home-Dwelling Older Adults, Family Caregivers, and Nurses

Daniel Gatica-Perez, Philipp Buluschek, Bruno Pais

Introduction:Population aging is increasing the needs and costs of healthcare. Both frailty and the chronic diseases affecting older people reduce their ability to live independently. However, most older people prefer to age in their own homes. New develop ...

2020

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Self-care

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

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

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home

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

A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

Application of virtual reality in neurosurgery: Patient missing. A systematic review

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Form-finding of tensegrity structures via rank minimization of force density matrix

Evaluation of 1-Year in-Home Monitoring Technology by Home-Dwelling Older Adults, Family Caregivers, and Nurses

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Chat with Graph Search

A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program

Form-finding of tensegrity structures via rank minimization of force density matrix

Application of virtual reality in neurosurgery: Patient missing. A systematic review

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

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

Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at home

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

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Evaluation of 1-Year in-Home Monitoring Technology by Home-Dwelling Older Adults, Family Caregivers, and Nurses