Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging.

Cardiovascular diseases (CVD) can be diagnosed using various diagnostic modalities. The electrocardiogram (ECG) is a cost-effective and widely available diagnostic aid that provides functional information of the heart. However, its ability to classify and spatially localise CVD is limited.

Continuum limit of the adaptive Kuramoto model.

We investigate the dynamics of the adaptive Kuramoto model with slow adaptation in the continuum limit, N→∞. This model is distinguished by dense multistability, where multiple states coexist for the same system parameters. The underlying cause of this multistability is that some oscillators can lock at different phases or switch between locking and drifting depending on their initial conditions.

Deceleration capacity derived from a five-minute electrocardiogram predicts mortality in the general population.

In contemporary healthcare, effective risk stratification in the general population is vital amidst rising chronic disease rates and an ageing demographic. Deceleration Capacity of the heart rate (DC), derived from 24-hour Holter electrocardiograms, holds promise in risk stratification for cardiac patients. However, the potential of short-term electrocardiograms of five minutes duration for population screening has not been fully explored.

Non-local transitions and ground state switching in the self-organization of vascular networks.

The model by D. Hu and D. Cai [Phys.

Understanding European patterns of deprescribing antithrombotic medication during end-of-life care in patients with cancer.

Background: Even though antithrombotic therapy (ATT) probably has little or even negative effect on the well-being of patients with cancer near the end of life, it is often continued until death, possibly leading to excess bleeding complications, increased disease burden, reduced quality of life and higher healthcare costs.

Aim: To explore and describe European practice patterns and perspectives of healthcare professionals from different disciplines and specialties on ATT in the end-of-life care (EOLC) of patients with cancer.

Methods: We performed a two-week international cross-sectional survey study using flash-mob research methodology.