Artificial Intelligence in Drug Discovery for Hepatocellular Carcinoma- Innovations and Future Directions

Yusra Zarlashat, Tayyeba, Shoukat Hussain and Ramsha Haroon
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Shoukat Hussain: Department of Biochemistry, Government College University Faisalabad, Pakistan
Ramsha Haroon: Gomal Center of Biotechnology and Biochemistry, Gomal University, Pakistan

Biomedical Journal of Scientific & Technical Research, 2024, vol. 59, issue 1, 51261-51271

Abstract: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, with limited treatment options and poor prognosis. The use of artificial intelligence (AI) with clinical and omics data provides transform- ative potential to design a drug that could improve patient outcomes and clinical trials in HCC. AI has emerged as a powerful tool in predicting drug responses, identifying biomarkers, and optimizing treatment strategies by using advanced techniques such as single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and pro- teomics.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:59:y:2024:i:1:p:51261-51271

DOI: 10.26717/BJSTR.2024.59.009258

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