Publications by authors named "N M al Attar"
Accurate prediction of daily river flow ( ) remains a challenging yet essential task in hydrological modeling, particularly crucial for flood mitigation and water resource management. This study introduces an advanced M5 Prime (M5P) predictive model designed to estimate as well as one- and two-day-ahead river flow forecasts (i.e.
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- The study investigates Nonalcoholic Steatohepatitis (NASH), a liver condition characterized by metabolic and inflammatory issues, with no current FDA-approved treatments available.
- Using machine learning, researchers analyzed NASH-induced rat models treated with various therapies to identify genetic and biochemical markers that predict treatment response, achieving up to 98.4% accuracy.
- Key findings reveal significant molecular features and biochemical markers associated with NASH improvement, emphasizing the potential of machine learning in developing noninvasive diagnostic methods.
Bilharzia is a parasitic flatworm that causes schistosomiasis, a neglected tropical illness worldwide. Praziquantel (PZQ) is a commercial single treatment of schistosomiasis so alternative drugs are needed to get rid of its side effects on the liver. The current study aimed to estimate the effective role of Ficus carica nanoparticles (Fc-NPCs), silver nanoparticles (Ag-NPCs) and Ficus carica nanoparticles loaded on silver nanoparticles (Fc-Ag NPCs) on C57BL/6 black female mice infected by Schistosoma mansoni and treated with PZQ treatment.
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- Sternal non-union is a rare complication after cardiac surgery that involves prolonged sternal pain and instability, typically lasting over six months without infection, and is confirmed via CT scans.
- The study reports on seven patients who underwent surgery for sternal non-union between 2015 and 2020, using a method involving sternal edge debridement, plate fixation, and autologous iliac crest bone grafting to stabilize the sternum.
- The patient demographics indicated a median age of 65, with risk factors like diabetes and smoking, and while there were some postoperative complications like iliac crest pain, all patients experienced long-term resolution without needing further surgeries.
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- The study evaluated the short-term outcomes of surgical aortic valve replacement (SAVR) in elderly patients aged 70 and above, comparing those aged 70-79 years with those aged 80 and older.
- Both age groups showed similar survival rates at 30 days and 1 year post-SAVR, indicating that age alone does not predict poorer outcomes.
- Risk factors for higher mortality included insulin-dependent diabetes and severe heart failure (NYHA class IV), which should be carefully considered when selecting elderly patients for SAVR.