Improving medication adherence in the community: a purposive umbrella review of effective patient-directed interventions that are readily implementable in the United Kingdom National Health Service.

Background: Suboptimal medication adherence is a major determinant of treatment outcome. Between a third and a half of prescribed medicines for long-term conditions are not taken as intended, the reasons for which are numerous and multifaceted. Improving medication adherence should optimise therapeutic outcomes.

Select for better learning: Identifying high-quality training data for a multimodal cyclic transformer.

Tonic-clonic seizures (TCSs), which present a significant risk for sudden unexpected death in epilepsy (SUDEP), require accurate detection to enable effective long-term monitoring. Previous studies have demonstrated the advantages of multimodal seizure detection systems in reliably detecting TCSs over extended periods. However, the effectiveness of these data-driven systems depends heavily on the availability of reliable training data.

Nanocellulose Extraction from Biomass Waste: Unlocking Sustainable Pathways for Biomedical Applications.

The escalating global waste crisis necessitates innovative solutions. This study investigates the sustainable production of nanocellulose from biomass waste and its biomedical applications. Cellulose-rich materials-including wood, textiles, agricultural residues, and food by-products-were systematically processed using alkaline, acid, and oxidative pretreatments to enhance fiber accessibility.

Urinary metabolite model to predict the dying process in lung cancer patients.

Background: Accurately recognizing that a person may be dying is central to improving their experience of care at the end-of-life. However, predicting dying is frequently inaccurate and often occurs only hours or a few days before death.

Methods: We performed urinary metabolomics analysis on patients with lung cancer to create a metabolite model to predict dying over the last 30 days of life.