Lower Bone Mineral Density in Female Elite Athletes With Menstrual Dysfunction From Mixed Sports.

Menstrual dysfunction (MD) in female athletes might be indicative of the syndrome of relative energy deficiency in sports (REDs), associated with, e.g., impaired bone health, an increased risk of injury, and decreased performance.

The interaction of structured data using openEHR and large Language models for clinical decision support in prostate cancer.

Background: Multidisciplinary teams (MDTs) are essential for cancer care but are resource-intensive. Decision-making processes within MDTs, while critical, contribute to increased healthcare costs due to the need for specialist time and coordination. The recent emergence of large language models (LLMs) offers the potential to improve the efficiency and accuracy of clinical decision-making processes, potentially reducing costs associated with traditional MDT models.

Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis.

Tumour content plays a pivotal role in directing the bioinformatic analysis of molecular profiles such as copy number variation (CNV). In clinical application, tumour purity estimation (TPE) is achieved either through visual pathological review [conventional pathology (CP)] or the deconvolution of molecular data. While CP provides a direct measurement, it demonstrates modest reproducibility and lacks standardisation.