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Fahaid Al-Hashem on Muck Rack

Fahaid Al-Hashem

As seen in: MDPI, Dialnet - Universidad de La Rioja
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Articles

Combining the Strengths of the Explainable Boosting Machine and Metabolomics Approaches for Biomarker Discovery in Acute Myocardial Infarction

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By Ahmet Arslan, Fatma Hilal Yagin, Abdulmohsen Algarni, Fahaid Al-Hashem
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Nutrients | Free Full-Text | Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery

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By Fatma Hilal Yagin, Fahaid Al-Hashem, Irshad Ahmad, Fuzail Ahmad
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?

Inhibition of Paracetamol-Induced Acute Kidney Damage in Rats Using a Combination of Resveratrol and Quercetin

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By Mohamed A. Haidara, Samaa S Kamar, Fahaid Al-Hashem, Abbas O El-Karib
| Dialnet - Universidad de La Rioja
Inhibition of Paracetamol-Induced Acute Kidney Damage in Rats Using a Combination of Resveratrol and Quercetin Autores: Mohamed A. Haidara, Fahaid Al-Hashem, Abbas O El-Karib, Mohamed Samir A Zaki, Samaa S Kamar, Mahmoud H El-Bidawy, Bahjat Al-Ani Localización: International Journal of morphology, ISSN-e 0717-9502, Vol. 37, Nº. 4, 2019, págs.
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