A5103366501- Physical Activity and Health
- Advanced X-ray and CT Imaging
- Obesity, Physical Activity, Diet
- Head and Neck Cancer Studies
- Children's Physical and Motor Development
- Safety Warnings and Signage
- Cardiovascular and exercise physiology
- Mass Spectrometry Techniques and Applications
- Body Composition Measurement Techniques
- Heart Rate Variability and Autonomic Control
- ECG Monitoring and Analysis
- Sports Performance and Training
- Muscle activation and electromyography studies
- Ion-surface interactions and analysis
- Oral Health Pathology and Treatment
- Human-Automation Interaction and Safety
- Cancer-related molecular mechanisms research
- Coronary Interventions and Diagnostics
- Dysphagia Assessment and Management
- Cardiac Ischemia and Reperfusion
- Health, psychology, and well-being
- Occupational Health and Performance
- Atrial Fibrillation Management and Outcomes
- Health and Lifestyle Studies
- Cardiac Imaging and Diagnostics
University of Gothenburg
2023-2025
Karolinska Institutet
2025
Swedish School of Sport and Health Sciences
2011-2025
Science for Life Laboratory
2025
Wallenberg Wood Science Center
2025
We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary (RCA) circumflex (LCX) iodine contrast-enhanced ECG-gated CT angiography (CCTA) scans. From a database of 6293 CCTA scans, we used pre-existing curved multiplanar reformations (CMR) images LAD, RCA and LCX arteries to create for detection stenoses. preprocessed by exploiting domain knowledge employed transfer learning approach...
Introduction: Information on the long-term maintenance of short-term exercise fitness gains measured by field-based tests is scarce in older adults. This study aimed to investigate short- and changes various physical parameters after an 8-week program. Methods: In this longitudinal study, a total 265 participants (62% women; mean age 71.4 ± 4.7 years) completed test battery 12 (22 parameters) at 2 pre-tests 1 post-test following program (2 sessions/week, combining aerobic strength...
ten Siethoff, L, Petré, H, Ovendal, A, Nilsson, J, Godhe, M, Tedeholm, P, Helge, T, and Andersson, EA. A 3-minute work capacity test predicts simulated firefighting performance. J Strength Cond Res XX(X): 000-000, 2025-The study aimed to identify a small set of fitness tests that could effectively predict performance in tasks. Thirty-six (25 male 11 female) firefighters participated the study. was evaluated with grip strength, barbell bench rows, elevated trap bar deadlifts. Work assessed...
Background Atrial fibrillation (AF) is a common but often undiagnosed condition, increasing the risk of stroke and heart failure. Early detection crucial, yet traditional methods struggle with AF’s transient nature. This study investigates how augmenting ECG data rate variability (HRV) demographic (age sex) can improve AF detection. Methods We analysed 35 634 12-lead recordings from three public databases (China Physiological Signal Challenge-Extra, PTB-XL Georgia), each physician-validated...
Abstract Background Accurate detection of coronary artery stenosis (CAS) on computerized tomography angiography (CCTA) is vital for saving lives, as timely diagnosis can prevent severe cardiac events. However, this task remains challenging due to data complexity and variability in imaging protocols. Deep learning offers promising potential automate detection, but robust methods are essential address real-world challenges effectively enhance patient outcomes. Methods A total 900 cases with...
Introduction Despite a steady decline in tobacco smoking, head and neck cancer (HNC) incidence rates are on the rise. Therefore, novel risk factors for HNC needed to identify at-risk patients at an early stage. Here, we used genetic, clinical, lifestyle, sociodemographic data from UK Biobank (UKB) evaluate relative importance of known predictors risk. Methods All participants UKB between 2006 2021 were stratified into cases controls baseline (cases: n = 534; controls: 501833) or during...
Objective In-hospital cardiac arrest (IHCA) presents a critical challenge with low survival rates and limited prediction tools. Despite advances in resuscitation, predicting 30-day remains difficult, current methods lack interpretability for timely decision-making. This study developed machine learning (ML) model to predict after IHCA, using peri-arrest variables available on the rescue team’s arrival, while ensuring balance between predictive accuracy clinical through Shapley Additive...
Aerobic fitness is of great value for reducing risk mortality and cardiovascular diseases.This study evaluated the performance in correlations between a new test (five-minute pyramid test, 5MPT), six-minute walk-test (6MWT) maximal oxygen uptake (VO2max) among old young adults.Forty-four habitually active adults (females males), 23 (64-79 years) 21 (20-32 participated. In 5MPT, participants moved back forth along short walkway (5.5 m) over boxes (height: 'old people' 0.42 m, 'young 0.62...
Abstract Background The relationship between ischemic preconditioning (IPC) and myocardial stunning is incompletely understood. Preconditioning has been shown to protect against injury, whereas stunning, i.e. transient contractile dysfunction in the setting of ischemia, can lead severe heart failure considered a deleterious process. To understand this relationship, we recently developed novel rat model ischemia-reperfusion (I/R) injury presence or absence IPC. In IPC (2 cycles 5 min I/R...