Publications by authors named "R S Dashti"

Objective: Dolichoectatic vertebrobasilar aneurysms (DVBAs) are expansions of arterial tissue leading to aneurysmal formations without an obvious neck. Their natural history is poorly understood; usually patients are admitted with thromboembolic complications and/or neurological symptoms from the mass effect. There have not been international collective data, and correct timing for highly risky treatments has been under discussion.

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  • - Materials data science and machine learning are transforming cancer treatment strategies by enabling the development of nanotherapeutics, which enhance drug delivery precision and minimize side effects compared to traditional treatments like chemotherapy.
  • - This study focuses on predicting the solvent-accessible surface area (SASA) of nanoparticles, which is vital for their effectiveness in therapy, by integrating machine learning with molecular dynamics simulations.
  • - The introduced methodology significantly boosts prediction accuracy and computational efficiency, achieving a 40-fold speed improvement and a 25% accuracy increase over existing methods, while also offering substantial cost savings for nanotherapeutic research.
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Objective: The integration of artificial intelligence (AI) in healthcare education is inevitable. Understanding the proficiency of generative AI in different languages to answer complex questions is crucial for educational purposes. The study objective was to compare the performance ChatGPT-4 and Gemini in answering Virology multiple-choice questions (MCQs) in English and Arabic, while assessing the quality of the generated content.

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Background: Chronic kidney disease (CKD) is a common comorbid condition in patients undergoing transcatheter aortic valve replacement (TAVR). Reported outcome studies on the association of baseline CKD and mortality is currently limited.

Objectives: To determine the prevalence of chronic kidney disease in patients undergoing TAVR and analyse their overall procedural outcomes.

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  • This study evaluated clinical outcomes of patients with acute heart failure (AHF) in the Arabian Gulf, specifically looking at those with mitral regurgitation (MR) across 47 hospitals.
  • Of the 5005 patients analyzed, 29.8% had MR, with an average age of about 59 years, and showed significant comorbidities including lower hemoglobin levels and higher rates of left atrial enlargement and cardiogenic shock.
  • Results indicated that MR was linked to a higher risk of all-cause mortality after one year and a greater chance of hospitalization for heart failure within three months.
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