Glaucoma is a common eye disease affecting several people worldwide. Blindness can be avoided with proper treatment and regular examination. Delayed diagnosis of eye disease causes serious damage to the optic nerve, resulting in loss of vision and bl... read more
OBJECTIVES: To compare two deep learning (DL) approaches for low-count PET/CT: deep progressive reconstruction (DPR), a scanner-integrated reconstruction-level method, and a deep-learning image-domain post-processing enhancement (POST; RaDynPET). MET... read more
Hepatocellular carcinoma (HCC) represents an extremely complex and heterogeneous malignant tumor. Protein palmitoylation, a highly conserved and pivotal form of post-translational protein modification, is extensively implicated in cancer progression ... read more
BACKGROUND: T helper 17 (Th17) cells participate in all pathological stages of systemic sclerosis (SSc). Molecular markers associated with Th17 cells hold promise as therapeutic targets for SSc. This study aims to screen and validate key genes relate... read more
Respiratory diseases remain a major global health burden, motivating the need for improved experimental lung models that capture both anatomical geometry and mechanical compliance. Traditional three-axis 3D printers face limitations in replicating th... read more
Outcomes after intervention for chronic venous insufficiency (CVI) is difficult to predict. This study aimed to develop machine learning (ML) models to predict 90-day clinical improvement after varicose vein surgery and identify key factors. This ret... read more
Survey research has long been a cornerstone of behavioral health and medical research. With the growth of Internet-based survey platforms, accelerated by the COVID-19 pandemic, conducting surveys completely online has become the standard. Online surv... read more
QJM : monthly journal of the Association of Physicians
Jan 31, 2026
BACKGROUND: Polycystic ovary syndrome (PCOS) and ischemic cardiomyopathy (ICM) share metabolic and cardiovascular risk factors, including insulin resistance and chronic inflammation, but the molecular links remain unclear. AIM: To identify shared dia... read more
BACKGROUND: Evidence indicates that artificial intelligence (AI) can improve mammography screening by increasing cancer detection and reducing screen reading workload, but its effect on interval cancers (primary breast cancers diagnosed between two s... read more
BACKGROUND: Accurate assessment of mortality, bleeding, and atherothrombotic risk in patients with cancer and acute coronary syndrome could inform novel personalised treatment strategies, but no standardised tools for this purpose exist. We aimed to ... read more
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