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Occlusion therapy for amblyopia, a historical report from 9th century Persian scholar, Ali ibn Sahl ibn Rabban al-Tabari (838-870 CE).
Strabismus
September 2024
Department of Ophthalmology, Poostchi Ophthalmology Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Introduction: This study reevaluates the historical origins of occlusion therapy for amblyopia, focusing on the contributions of the 9th-century Islamic scholar, Ali ibn Sahl ibn Rabban al-Tabari (838-870 CE).
Methods: The investigation delved into al-Tabari's writings, particularly "Firdous al-Hikma," to extract insights into his approach to addressing reduced vision in one eye.Additionally, the study examined subsequent advancements in occlusion therapy by scholars such as Thabit ibn Qurrah and Rhazes, building upon al-Tabari'sfoundational work.
Al-Zahrawi (936-1013 AD): On the Surgical Treatment of Neurological Disorders by the Father of Operative Surgery.
World Neurosurg
April 2024
The Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA; Department of Neurosurgery, Rhode Island Hospital, Providence, Rhode Island, USA.
Background: Medical knowledge during the medieval ages flourished under the influence of great scholars of the Islamic Golden age such as Ibn Sina (Latinized as Avicenna), Abu Bakr al-Razi (Rhazes), and Abu al-Qasim Khalaf ibn al-Abbas al-Zahrawi, known as Albucasis. Much has been written on al-Zahrawi's innovation in various disciplines of medicine and surgery. In this article, we focus for on the contributions of al-Zahrawi toward the treatment of neurological disorders in the surgical chapters of his medical encyclopedia, Kitab al-Tasrif (The Method of Medicine).
View Article and Find Full Text PDFMechanism design for a fair and equitable approach to global vaccine distribution: The case of COVID-19.
PLOS Glob Public Health
December 2023
Division of Sustainable Development, College of Science and Engineering, Qatar Foundation, Hamad Bin Khalifa University, Doha, Qatar.
Vaccines are one of the most effective tools humanity has in the fight against pandemics. One of the major challenges of vaccine distribution is achieving fair and equitable allocation across the countries of the world, regardless of their economic wealth. The self-interested behaviour of high-income countries and the underutilisation of vaccines allocated to underprepared countries are some of the failures reported during COVID-19 vaccine roll-out.
View Article and Find Full Text PDFWhole slide image representation in bone marrow cytology.
Comput Biol Med
November 2023
McMaster University, Hamilton, Canada; William Osler Health System, Brampton, Canada. Electronic address:
Article Synopsis
- The study focuses on using AI to create compact representations of whole slide images (WSIs) in bone marrow aspirate cytology, which is essential for hematology diagnosis.
- Traditional visual inspection of these specimens is complex and varies among experts, making the development of AI tools beneficial for clinical decision-making.
- The authors applied an AI system to classify and count cells, achieving better performance in image retrieval and diagnostic prediction compared to random guessing, showcasing the potential of deep learning in improving diagnostics in hematology.
Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search.
Comput Biol Med
August 2023
Kimia Lab, University of Waterloo, Waterloo, ON, Canada; Rhazes Lab, Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, USA. Electronic address:
Considering their gigapixel sizes, the representation of whole slide images (WSIs) for classification and retrieval systems is a non-trivial task. Patch processing and multi-Instance Learning (MIL) are common approaches to analyze WSIs. However, in end-to-end training, these methods require high GPU memory consumption due to the simultaneous processing of multiple sets of patches.
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