Publications by authors named "T Mansour"

Background: Prenatally transmitted viruses can cause severe damage to the developing brain. There is unexplained variability in prenatal brain injury and postnatal neurodevelopmental outcomes, suggesting disease modifiers. Of note, prenatal Zika infection can cause a spectrum of neurodevelopmental disorders, including congenital Zika syndrome.

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Objective: Patients undergoing anterior/posterior lumbar fusion surgery can undergo either a single-stage or multistage operation, depending on surgeon preference. The goal of this study was to assess different patient outcomes between single-stage and multistage lumbar fusion procedures in a multicenter setting.

Methods: The Michigan Spine Surgery Improvement Collaborative database was queried for anterior/posterior lumbar fusion surgeries between July 2018 and January 2022.

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The rapid integration of artificial intelligence (AI) into health professions education is revolutionizing traditional teaching methodologies and enhancing learning experiences. This study explores the use of generative AI to aid occupational therapy (OT) students in intervention planning. OT students often lack the background knowledge to generate a wide variety of interventions, spending excessive time on idea generation rather than clinical reasoning, practice skills, and patient care.

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Glioblastoma multiforme (GBM) is an aggressive and lethal form of brain cancer with few effective treatments. In this context, Zika virus has emerged as a promising therapeutic agent due to its ability to selectively infect and kill GBM cells. To elucidate these mechanisms and expand the landscape of oncolytic virotherapy, we pursued a transcriptomic meta-analysis comparing the molecular signatures of Zika infection in GBM and neuroblastoma (NBM).

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Article Synopsis
  • The study looks at what helps and what gets in the way of using AI to make healthcare better in the UAE from doctors' viewpoints.
  • It involved talking to 12 doctors to find out what they think about AI in medicine.
  • Key findings show that doctors need to be trained, healthcare systems should work together, insurance should cover AI costs, and patients must understand and accept AI for it to work well.
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