Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review
Abstract Liver cancer is one of the most challenging malignancies, often associated with poor prognosis and limited treatment options. Recent advancements in nanotechnology and artificial intelligence (AI) have opened new frontiers in the fight against this disease. Nanotechnology enables precise, t...
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Discover Oncology |
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| Online Access: | https://doi.org/10.1007/s12672-025-01821-y |
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| author | Manjusha Bhange Darshan Telange |
| author_facet | Manjusha Bhange Darshan Telange |
| author_sort | Manjusha Bhange |
| collection | DOAJ |
| description | Abstract Liver cancer is one of the most challenging malignancies, often associated with poor prognosis and limited treatment options. Recent advancements in nanotechnology and artificial intelligence (AI) have opened new frontiers in the fight against this disease. Nanotechnology enables precise, targeted drug delivery, enhancing the efficacy of therapeutics while minimizing off-target effects. Simultaneously, AI contributes to improved diagnostic accuracy, predictive modeling, and the development of personalized treatment strategies. This review explores the convergence of nanotechnology and AI in liver cancer treatment, evaluating current progress, identifying existing research gaps, and discussing future directions. We highlight how AI-powered algorithms can optimize nanocarrier design, facilitate real-time monitoring of treatment efficacy, and enhance clinical decision-making. By integrating AI with nanotechnology, clinicians can achieve more accurate patient stratification and treatment personalization, ultimately improving patient outcomes. This convergence holds significant promise for transforming liver cancer therapy into a more precise, individualized, and efficient process. However, data privacy, regulatory hurdles, and the need for large-scale clinical validation remain. Addressing these issues will be essential to fully realizing the potential of these technologies in oncology. |
| format | Article |
| id | doaj-art-658c874faa374105b40fbff2c12dab48 |
| institution | Kabale University |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-658c874faa374105b40fbff2c12dab482025-01-26T12:39:50ZengSpringerDiscover Oncology2730-60112025-01-0116112010.1007/s12672-025-01821-yConvergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive reviewManjusha Bhange0Darshan Telange1Department of Pharmaceutics, Datta Meghe College of Pharmacy, Datta Meghe Institute of Higher Education and Research (DU)Department of Pharmaceutics, Datta Meghe College of Pharmacy, Datta Meghe Institute of Higher Education and Research (DU)Abstract Liver cancer is one of the most challenging malignancies, often associated with poor prognosis and limited treatment options. Recent advancements in nanotechnology and artificial intelligence (AI) have opened new frontiers in the fight against this disease. Nanotechnology enables precise, targeted drug delivery, enhancing the efficacy of therapeutics while minimizing off-target effects. Simultaneously, AI contributes to improved diagnostic accuracy, predictive modeling, and the development of personalized treatment strategies. This review explores the convergence of nanotechnology and AI in liver cancer treatment, evaluating current progress, identifying existing research gaps, and discussing future directions. We highlight how AI-powered algorithms can optimize nanocarrier design, facilitate real-time monitoring of treatment efficacy, and enhance clinical decision-making. By integrating AI with nanotechnology, clinicians can achieve more accurate patient stratification and treatment personalization, ultimately improving patient outcomes. This convergence holds significant promise for transforming liver cancer therapy into a more precise, individualized, and efficient process. However, data privacy, regulatory hurdles, and the need for large-scale clinical validation remain. Addressing these issues will be essential to fully realizing the potential of these technologies in oncology.https://doi.org/10.1007/s12672-025-01821-yLiver cancerNanotechnologyArtificial intelligencePersonalized medicine |
| spellingShingle | Manjusha Bhange Darshan Telange Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review Discover Oncology Liver cancer Nanotechnology Artificial intelligence Personalized medicine |
| title | Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review |
| title_full | Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review |
| title_fullStr | Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review |
| title_full_unstemmed | Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review |
| title_short | Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review |
| title_sort | convergence of nanotechnology and artificial intelligence in the fight against liver cancer a comprehensive review |
| topic | Liver cancer Nanotechnology Artificial intelligence Personalized medicine |
| url | https://doi.org/10.1007/s12672-025-01821-y |
| work_keys_str_mv | AT manjushabhange convergenceofnanotechnologyandartificialintelligenceinthefightagainstlivercanceracomprehensivereview AT darshantelange convergenceofnanotechnologyandartificialintelligenceinthefightagainstlivercanceracomprehensivereview |