Publications by authors named "Y A Sada"
The SIDDHARTA-2 collaboration has developed a novel X-ray detection system based on cadmium-zinc-telluride (CZT, CdZnTe), marking the first application of this technology at the DAΦNE electron-positron collider at INFN-LNF. This work aims to demonstrate the stability of the detectors' performance in terms of linearity and resolution over short and long periods, thereby establishing their suitability for precise spectroscopic measurements within a collider environment. A reference calibration spectrum is presented in association with findings from assessments of linearity and resolution stability.
View Article and Find Full Text PDFExcimer laser coronary angioplasty (ELCA) in percutaneous coronary intervention (PCI) is safe and effective. However, thrombotic complications after ELCA occasionally occur. This study aimed to evaluate the impact of lipid-rich plaque in both in-stent restenosis (ISR) and de novo lesions on thrombus formation and transient no-reflow after ELCA.
View Article and Find Full Text PDFArticle Synopsis
- Genital schistosomiasis (GS) is a neglected tropical disease affecting reproductive health, with limited awareness and knowledge among healthcare providers in Sub-Saharan Africa leading to underdiagnosis.
- A survey of 139 primary healthcare providers in Northern Nigeria revealed a mixed awareness of GS, with good knowledge of its causes and treatment but lower understanding of its complications; overall, 43.9% showed good awareness.
- The findings highlight the need for targeted educational programs to improve knowledge of GS among healthcare providers, especially in regions with lower awareness, to enhance early detection and management.
Article Synopsis
- * A study involving 237 patients showed that 30% developed prosthesis-patient mismatch (PPM), with higher MPV levels in those with PPM and less reduction in MPV post-surgery compared to those without PPM.
- * MPV at the six-month follow-up can help predict PPM in AS patients after TAVR, indicating it may be useful for monitoring during recovery.
Purpose: Performance status (PS), an essential indicator of patients' functional abilities, is often documented in clinical notes of patients with cancer. The use of natural language processing (NLP) in extracting PS from electronic medical records (EMRs) has shown promise in enhancing clinical decision-making, patient monitoring, and research studies. We designed and validated a multi-institute NLP pipeline to automatically extract performance status from free-text patient notes.
View Article and Find Full Text PDF