Precision of in vivo pressure gradient estimations using synthetic aperture ultrasound.

Non-invasive estimation of pressure differences using 2D synthetic aperture ultrasound imaging offers a precise, low-cost, and risk-free diagnostic tool. Unlike invasive techniques, this preserves natural blood flow and avoids the limitations of devices that occupy lumen space. This paper evaluates a previously published estimator, modified to incorporate Singular Value Decomposition (SVD) echo-cancellation, using data from ten healthy volunteers and one patient.

Non-invasive [O]HO PET measurements of cerebral perfusion and cerebrovascular reactivity using an additional heart scan.

Obtaining the arterial input function (AIF) is essential for quantitative regional cerebral perfusion (rCBF) measurements using [O]HO PET. However, arterial blood sampling is invasive and complicates the scanning procedure. We propose a new non-invasive dual scan technique with an image derived input function (IDIF) from an additional heart scan.

Overall survival after CDK4/6 inhibitor dose reduction in women with metastatic breast cancer.

Background: Breast cancer is the most common cancer in women, and the first-line treatment for patients with hormone-receptor positive/HER2-negative metastatic breast cancer is CDK4/6 inhibitor plus endocrine therapy. Understanding the impact of CDK4/6 inhibitor dose reduction, which occurs in about half of the patients, is important.

Methods: This real-world cohort study is based on electronic health records from Capital Region of Denmark.

Developmental coordination disorder questionnaire - translation and adaptation into Danish.

Background: Developmental Coordination Disorder is a commonly occurring, but poorly recognised developmental condition characterised by difficulties with motor functions. Danish tests of children's motor functioning, which are currently available, are outdated and only applicable up to the age of seven years old. New tools are needed to enable easy and efficient screening of motor difficulties experienced by children living in Denmark.

No association between migraine and HLA alleles in a cohort of 13,210 individuals with migraine from the Danish Blood Donor Study.

Objective: To determine the association between human leukocyte antigen (HLA) alleles and migraine, migraine subtypes, and sex-specific factors.

Background: It has long been hypothesized that inflammation contributes to migraine pathophysiology. This study examined the association between migraine and alleles in the HLA system, a key player in immune response and genetic diversity.

Predicting early appropriate therapy for patients infected by carbapenem-resistant Gram-negative pathogens in intensive care units in Italy.

Background: Antibiotic resistance among Gram-negative bacteria in intensive care units (ICUs) is linked with high morbidity and mortality in patients. In this study, we estimated the therapeutic coverage of various antibiotics, focusing on cefiderocol and comparators, administered empirically against an infection of unknown origin in the ICU.

Methods: In the ARTEMIS surveillance study, susceptibilities of 624 Italian Gram-negative isolates to amikacin, aztreonam-avibactam, cefiderocol, ceftazidime-avibactam, ceftolozane-tazobactam, colistin, imipenem-relebactam, meropenem, and meropenem-vaborbactam were tested by broth microdilution, and results were interpreted by European Committee on Antimicrobial Susceptibility Testing breakpoints.

Predicting Epileptic Seizures Using Biometric Sensors - A Pilot Study Protocol.

Epilepsy is a prevalent neurological disorder characterized by unpredictable seizures despite some known risk factors. Using an mHealth system and Empatica EmbracePlus, we aim to examine if biometric sensor data can detect and predict epileptic seizures. Five participants with epilepsy will be followed for a minimum of 15 seizures.

Towards Automatic Migraine-Event Prediction Using Continuous Sensor Data.

Migraine is a chronic headache disorder. A prototype mobile app-based system was implemented to test data collection and improve data coverage for the Empatica E4 biometric sensor device. Results from the prototype testing are reported.

Using One App Only - Collecting a Comprehensive Set of Health-Related Data for Prevention of Chronic Conditions.

This paper presents the design, implementation and early tests of an app that collects a comprehensive set of health-related data, as part of the EU-project WARIFA. To achieve the main aim of the project - using AI to prevent chronic conditions - a wide range of data needs to be collected and stored at a backend server for processing. The methods and elements for creating this system are presented, as well as results from the co-creation process and early user-tests.

Augmented Reality-Based Exergames for Persons with Intellectual Disability.

This paper explores the significance of physical activity for individuals with intellectual disabilities and proposes an innovative approach using augmented reality exergames to promote adherence. An augmented reality-based app for sorting elements while walking was specifically designed and implemented. Exergames hold promise as effective interventions for promoting physical activity and improving the overall well-being of individuals with intellectual disabilities.

Open Digital Health Workshops - A Model for Mutual Contact and Knowledge Exchange with the Local Community.

The increasing percentage of elderly in our society is challenging the health care system. To meet the challenge, we have implemented an experience-based master's programme in digital health care. The 3-yrs 90 ECTS programme consists of physical sessions of three days duration and weekly 2-3-hour digital lectures and bi-weekly supervisions.

Barriers to physical activity participation for adults with intellectual disability: A cross-sectional study.

Background: Identifying barriers that can be modified to promote physical activity is important for informing health interventions for adults with intellectual disabilities.

Objectives: Exploring participation in physical activity considering age, sex, living conditions, and health conditions. Further, identifying barriers significantly associated with sedentary activity after adjustment for physical activity correlates.

Long-term prognostic value of [O]HO PET imaging in patients suspected for cerebral hemodynamic insufficiency.

Objectives: Quantitative regional cerebral perfusion (rCBF) measurements using [O]HO PET with arterial cannulation and acetazolamide (ACZ) challenge have been reserved to identify high-risk patients that are candidates for by-pass operation. We aimed to assess the prognostic value of various parameters in quantitative [O]HO PET measurements in patients not subsequently undergoing surgery.

Methods: We identified 32 eligible patients who underwent [O]HO brain PET imaging for suspicion of hemodynamic insufficiency between 2009 and 2020.

Dataset of motivational factors for using mobile health applications and systems.

We created and carried out a cross-sectional anonymous structured questionnaire on what motivates users of mobile health applications and wearables to share their collected health related data. The questionnaire was distributed online in English, French, and Norwegian. In addition, a flyer with information of where to locate the online questionnaire was distributed during a Swiss health conference.

Using mobile health to encourage physical activity in individuals with intellectual disability: a pilot mixed methods feasibility study.

Background: Many individuals with intellectual disability (ID) have a sedentary lifestyle. Few interventions aimed at increasing their level of physical activity (PA) have shown lasting effects.

Aim: To assess the feasibility and acceptability of a pilot intervention study using innovative mobile health (mHealth) support systems to encourage PA in individuals with ID.

Diagnostic accuracy of cerebral [F]FDG PET in atypical parkinsonism.

Background: Atypical parkinsonism (AP) often presents with Parkinson's symptoms but has a much worse long-term prognosis. The diagnosis is presently based on clinical criteria, but a cerebral positron emission tomography (PET) scan with [F]fluoro-2-deoxy-2-D-glucose ([F]FDG) may assist in the diagnosis of AP such as multiple system atrophy (MSA), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and Lewy body dementia (DLB). Only few studies have evaluated the sensitivity and specificity of [F]FDG PET for separating the diseases in a mixed patient population, which we aim to assess in a retrospective material.

Data Collection and Analysis Methods for Smart Nudging to Promote Physical Activity: Protocol for a Mixed Methods Study.

New digital technologies like activity trackers, nudge concepts, and approaches can inspire and improve personal health. There is increasing interest in employing such devices to monitor people's health and well-being. These devices can continually gather and examine health-related information from people and groups in their familiar surroundings.

Health Research Requires Efficient Platforms for Data Collection from Personal Devices.

Data from consumer-based devices for collecting personal health-related data could be useful in diagnostics and treatment. This requires a flexible and scalable software and system architecture to handle the data. This study examines the existing mSpider platform, addresses shortcomings in security and development, and suggests a full risk analysis, a more loosely coupled component- based system for long term stability, better scalability, and maintainability.

Executive-centered AI? Designing predictive systems for the public sector.

Recent policies and research articles call for turning AI into a form of IA ('intelligence augmentation'), by envisioning systems that center on and enhance humans. Based on a field study at an AI company, this article studies how AI is performed as developers enact two predictive systems along with stakeholders in public sector accounting and public sector healthcare. Inspired by STS theories about values in design, we analyze our empirical data focusing especially on how objectives, structured performances, and divisions of labor are built into the two systems and at whose expense.

A 12-month randomised pilot trial of the Alzheimer's and music therapy study: a feasibility assessment of music therapy and physical activity in patients with mild-to-moderate Alzheimer's disease.

Background: The Alzheimer's and Music Therapy (ALMUTH) study is the first randomised controlled trial (RCT) design with 12 months of active non-pharmacological therapy (NPT) implementing music therapy (MT) and physical activity (PA) for participants with Alzheimer's disease (AD). The aim of the present article is to retrospectively examine the inclusion of mild-to-moderate Alzheimer's Disease patients into the main ALMUTH study protocol and to determine if continued inclusion of AD patients is warranted.

Methods: The randomised pilot trial was conducted as a parallel three-arm RCT, reflecting the experimental design of the ALMUTH study.