Machine Learning Approach and Bioinformatics Analysis Discovered Key Genomic Signatures for Hepatitis B Virus-Associated Hepatocyte Remodeling and Hepatocellular Carcinoma DOI Creative Commons
Adane Adugna, Gashaw Azanaw Amare, Mohammed Jemal

и другие.

Cancer Informatics, Год журнала: 2025, Номер 24

Опубликована: Янв. 1, 2025

Hepatitis B virus (HBV) causes liver cancer, which is the third most common cause of cancer-related death worldwide. Chronic inflammation via HBV in host hepatocytes hepatocyte remodeling (hepatocyte transformation and immortalization) hepatocellular carcinoma (HCC). Recognizing cancer stages accurately to optimize early screening diagnosis a primary concern outlook HBV-induced cancer. Genomic signatures play important roles addressing this issue. Recently, machine learning (ML) models bioinformatics analysis have become very discovering novel genomic for diagnosis, treatment, prognosis hepatic cell HCC. We discuss recent literature on ML approach revealed diagnosing forecasting HBV-associated Various signatures, including various microRNAs their associated genes, long noncoding RNAs (lncRNAs), small nucleolar (snoRNAs), been discovered be involved upregulation downregulation HBV-HCC. Moreover, these genetic biomarkers also affect different biological processes, such as proliferation, migration, circulation, assault, dissemination, antiapoptosis, mitogenesis, transformation, angiogenesis HBV-infected hepatocytes.

Язык: Английский

Liver Cancer Classification Approach Using Yolov8 DOI
Fatimah I. Abdulsahib, Belal Al‐Khateeb, László T. Kóczy

и другие.

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 14 - 21

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Machine Learning Approach and Bioinformatics Analysis Discovered Key Genomic Signatures for Hepatitis B Virus-Associated Hepatocyte Remodeling and Hepatocellular Carcinoma DOI Creative Commons
Adane Adugna, Gashaw Azanaw Amare, Mohammed Jemal

и другие.

Cancer Informatics, Год журнала: 2025, Номер 24

Опубликована: Янв. 1, 2025

Hepatitis B virus (HBV) causes liver cancer, which is the third most common cause of cancer-related death worldwide. Chronic inflammation via HBV in host hepatocytes hepatocyte remodeling (hepatocyte transformation and immortalization) hepatocellular carcinoma (HCC). Recognizing cancer stages accurately to optimize early screening diagnosis a primary concern outlook HBV-induced cancer. Genomic signatures play important roles addressing this issue. Recently, machine learning (ML) models bioinformatics analysis have become very discovering novel genomic for diagnosis, treatment, prognosis hepatic cell HCC. We discuss recent literature on ML approach revealed diagnosing forecasting HBV-associated Various signatures, including various microRNAs their associated genes, long noncoding RNAs (lncRNAs), small nucleolar (snoRNAs), been discovered be involved upregulation downregulation HBV-HCC. Moreover, these genetic biomarkers also affect different biological processes, such as proliferation, migration, circulation, assault, dissemination, antiapoptosis, mitogenesis, transformation, angiogenesis HBV-infected hepatocytes.

Язык: Английский

Процитировано

0