Publications by authors named "M M Sobhy"

Patients with rheumatoid arthritis (RA), an inflammatory illness that affects the synovial joints, have a much worse quality of life. Mostly, oral or injectable formulations are used to treat RA, underscoring the critical need for an innovative medication delivery method to enhance therapeutic outcomes and patient compliance. The present study integrated 3D bioprinting and electrospinning technologies to create a unique double-layered transdermal patch (TDDP) for the treatment of RA.

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Background Breast cancer (BC) affects many women, and with the prevalence of anthracyclines (AC) used in treatment, cardiotoxicity is a commonly encountered problem. Objective The aim is to early detect subclinical cancer therapy-related cardiac dysfunction (CTRCD) using noninvasive imaging techniques and cardiac biomarkers. Methods Eighty-eight patients with cancer who planned to receive AC or trastuzumab (TZB) were enrolled.

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Article Synopsis
  • The study aimed to predict in-hospital mortality in patients with Acute Coronary Syndrome (ACS) using machine learning (ML) algorithms, specifically focusing on the QTc interval, and compared these predictions to established risk scores.
  • Researchers analyzed data from 500 ACS patients over two years, developing three ML models: Random Forest, Naive Bayes, and PART, measuring their effectiveness against the GRACE and TIMI risk scores.
  • The models showed promising performance, with the ML algorithms achieving an area under the curve (AUC) of 0.83 to 0.93, while the GRACE score had an AUC of 0.90, highlighting the potential of using ML for mortality prediction in hospital settings.
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Insulin is secreted by the pancreatic β-cells and regulates glucose uptake. Endoplasmic reticulum (ER) stress is known to induce insulin resistance. Identifying novel compounds, which can ameliorate ER stress and insulin resistance may be beneficial in the treatment of diabetes.

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Article Synopsis
  • Breast cancer (BC) is the most common cancer in women worldwide, characterized by high heterogeneity, treatment resistance, and risks of recurrence and metastasis.
  • Early detection and continuous monitoring are essential for improving survival rates, but the lack of precise biomarkers significantly affects patients' quality of life.
  • Recent studies highlight the role of long noncoding RNAs (lncRNAs) in understanding and managing BC, particularly in relation to specific signaling pathways and potential therapeutic strategies.
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