Publications by authors named "J C Ware"
Article Synopsis
- Pediatric low-grade gliomas (pLGGs) show varying treatment responses and poor outcomes when complete tumor removal isn't possible, making early treatment prediction important.
- A radiogenomic analysis combining MRI and RNA sequencing reveals three immune clusters in pLGGs, with one cluster having higher immune activity but worse prognosis, suggesting they might benefit from immunotherapy.
- A developed radiomic signature accurately predicts these immune profiles and progression-free survival, identifying high-risk patients for potential targeted therapies.
Importance: Hypertension underpins significant global morbidity and mortality. Early lifestyle intervention and treatment are effective in reducing adverse outcomes. Artificial intelligence-enhanced electrocardiography (AI-ECG) has been shown to identify a broad spectrum of subclinical disease and may be useful for predicting incident hypertension.
View Article and Find Full Text PDFBackground: Fully automatic skull-stripping and tumor segmentation are crucial for monitoring pediatric brain tumors (PBT). Current methods, however, often lack generalizability, particularly for rare tumors in the sellar/suprasellar regions and when applied to real-world clinical data in limited data scenarios. To address these challenges, we propose AI-driven techniques for skull-stripping and tumor segmentation.
View Article and Find Full Text PDFAims: Sudden arrhythmic death syndrome (SADS) refers to a sudden death, which remains unexplained despite comprehensive post-mortem examination and a toxicological screen. We aimed to investigate the impact of age and sex on the overall diagnostic yield and underlying aetiology in decedents with SADS using a combined approach of familial evaluation (FE) and molecular autopsy (MA).
Methods And Results: Consecutive referrals to a single centre for FE only, MA only or both, following a SADS death were included.
Article Synopsis
- - Hypertrophic cardiomyopathy (HCM) was traditionally seen as caused by rare, high-risk single-gene changes, but new research indicates common low-risk variants (LowSVs) also play a significant role in the disease.
- - In a study of over 6000 patients, 12 LowSVs were discovered, which are relatively common in the general population and more prevalent in HCM patients, suggesting they may influence disease severity and risk.
- - While LowSVs alone are linked to a later onset of HCM and fewer complications, their presence alongside more severe genetic variants increases health risks significantly.