Purpose: The study explores the role of multimodal imaging techniques, such as [F]F-PSMA-1007 PET/CT and multiparametric MRI (mpMRI), in predicting the ISUP (International Society of Urological Pathology) grading of prostate cancer. The goal is to enhance diagnostic accuracy and improve clinical decision-making by integrating these advanced imaging modalities with clinical variables. In particular, the study investigates the application of few-shot learning to address the challenge of limited data in prostate cancer imaging, which is often a common issue in medical research.
View Article and Find Full Text PDFBackground: Fasting-mimicking diet (FMD) boosts the antitumour immune response in patients with colorectal cancer (CRC). The gut microbiota is a key host immunity regulator, affecting physiological homeostasis and disease pathogenesis.
Objective: We aimed to investigate how FMD protects against CRC via gut microbiota modulation.
PLoS Negl Trop Dis
January 2025
Background: The Japanese encephalitis virus (JEV), a mosquito-borne flavivirus, is known for its capacity to cause severe neurological disease in Asia. Neurotropic flaviviruses within the Japanese encephalitis (JE) serogroup possess the distinctive feature of expressing a unique nonstructural protein, NS1'. The NS1' protein consists of the full NS1 protein with an additional 52 amino acid extension at the C-terminus and has been demonstrated to exhibit virulence in mammalian hosts upon infection.
View Article and Find Full Text PDFBackground: Gnathodiaphyseal dysplasia (GDD) is a rare autosomal dominant genetic disease characterized by osteosclerosis of the tubular bones and cemento-osseous lesions of the mandibles. () is the pathogenic gene, however, the specific molecular mechanism of GDD remains unclear. Herein, a knockin ( ) mouse model expressing the human mutation p.
View Article and Find Full Text PDFBackground: Current research highlights the importance of addressing multiple risk factors concurrently to tackle the complex etiology of dementia. However, limited evidence exists on the efficacy of technology-driven, multidomain community-based interventions for preventing cognitive decline.
Objectives: To evaluate the efficacy of ADL+, an artificial intelligence (AI)-enabled digital toolkit integrating cognitive assessments and multidomain interventions, on outcomes of cognitive function, activity levels, and quality of life in older adults at risk of cognitive decline.