Publications by authors named "A Sabbagh"
Introduction: Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm characterized by the Philadelphia chromosome and uncontrolled granulocyte production. While autoimmune hemolytic anemia (AIHA) is commonly associated with lymphoproliferative disorders such as chronic lymphocytic leukemia, its occurrence in CML is rare, with only a few documented cases. Here, we report a case of concurrent chronic-phase CML and AIHA.
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- Researchers developed machine learning (ML) models to improve the prediction of pathologic stages in prostate cancer patients, aiming to surpass traditional nomograms that utilize available clinical data.
- They trained seven ML models using patient data from the National Cancer Database and found that the extreme gradient boosted trees model provided the best predictions, outperforming existing nomograms in terms of area under the curve (AUC).
- The enhanced accuracy of these ML models can assist oncologists in determining the most suitable treatment options for patients, emphasizing their clinical utility and reliability.
A rare well-differentiated renal retroperitoneal liposarcoma: a case report.
Ann Med Surg (Lond)
October 2024
Article Synopsis
- Retroperitoneal liposarcomas (RPLPSs) are uncommon tumors arising from mesenchymal cells in the peritoneal cavity, with renal cases being especially rare; only 45 instances have been documented.* -
- A case study of a 44-year-old woman revealed that she had RPLPS, identified due to symptoms like hirsutism and an abdominal mass, which was confirmed via imaging and needle biopsy; she successfully underwent surgery.* -
- RPLPSs are primarily asymptomatic until they grow large, categorized into five subtypes, and while they seldom metastasize, they often recur; they can compress nearby structures like the adrenal gland.*
Epilepsy surgery and intracranial monitoring have a long history in the Kingdom of Saudi Arabia, spanning over 30 years. Stereo-EEG however, is a more recent offering. In this short communication, we discuss how Stereo-EEG has grown in the context of the Kingdom's healthcare model and the Vision 2030 model.
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