Výsledky vyhledávání - "Fahad Mostafa"

Akademický článek

Computational models for predicting liver toxicity in the deep learning era

Autor: Fahad Mostafa, Minjun Chen

Publikováno v: Frontiers in Toxicology, Vol 5 (2024)

Drug-induced liver injury (DILI) is a severe adverse reaction caused by drugs and may result in acute liver failure and even death. Many efforts have centered on mitigating risks associated with potential DILI in humans. Among these, quantitative str

Externí odkaz: https://doaj.org/article/b1333d98410d4084bf676b1dbcc397a6

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Akademický článek

Machine-Learning Classification Models to Predict Liver Cancer with Explainable AI to Discover Associated Genes

Autor: Md Easin Hasan, Fahad Mostafa, Md S. Hossain, Jonathon Loftin

Publikováno v: AppliedMath, Vol 3, Iss 2, Pp 417-445 (2023)

Hepatocellular carcinoma (HCC) is the primary liver cancer that occurs the most frequently. The risk of developing HCC is highest in those with chronic liver diseases, such as cirrhosis brought on by hepatitis B or C infection and the most common typ

Externí odkaz: https://doaj.org/article/8d6c681f91ae444c8d1a28baa601c1e2

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Akademický článek

Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in Development

Autor: Fahad Mostafa, Victoria Howle, Minjun Chen

Publikováno v: Toxics, Vol 12, Iss 6, p 385 (2024)

Drug-induced liver injury (DILI) poses a significant challenge for the pharmaceutical industry and regulatory bodies. Despite extensive toxicological research aimed at mitigating DILI risk, the effectiveness of these techniques in predicting DILI in

Externí odkaz: https://doaj.org/article/c8bc092727c74b13b7c24e38c00fd65e

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Akademický článek

Statistical Machine Learning Approaches to Liver Disease Prediction

Autor: Fahad Mostafa, Easin Hasan, Morgan Williamson, Hafiz Khan

Publikováno v: Livers, Vol 1, Iss 4, Pp 294-312 (2021)

Medical diagnoses have important implications for improving patient care, research, and policy. For a medical diagnosis, health professionals use different kinds of pathological methods to make decisions on medical reports in terms of the patients’

Externí odkaz: https://doaj.org/article/e0598136f12a4785add62f03721b5fe8

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