Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence
Despite the expanding therapeutic options available to cancer patients, therapeutic resistance, disease recurrence, and metastasis persist as hallmark challenges in the treatment of cancer. The rise to prominence of generative artificial intelligence (GenAI) in many realms of human activities is com...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-01-01
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| Series: | Clinical Medicine Insights: Oncology |
| Online Access: | https://doi.org/10.1177/11795549241311408 |
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| _version_ | 1841557371660271616 |
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| author | Youcef Derbal |
| author_facet | Youcef Derbal |
| author_sort | Youcef Derbal |
| collection | DOAJ |
| description | Despite the expanding therapeutic options available to cancer patients, therapeutic resistance, disease recurrence, and metastasis persist as hallmark challenges in the treatment of cancer. The rise to prominence of generative artificial intelligence (GenAI) in many realms of human activities is compelling the consideration of its capabilities as a potential lever to advance the development of effective cancer treatments. This article presents a hypothetical case study on the application of generative pre-trained transformers (GPTs) to the treatment of metastatic prostate cancer (mPC). The case explores the design of GPT-supported adaptive intermittent therapy for mPC. Testosterone and prostate-specific antigen (PSA) are assumed to be repeatedly monitored while treatment may involve a combination of androgen deprivation therapy (ADT), androgen receptor-signalling inhibitors (ARSI), chemotherapy, and radiotherapy. The analysis covers various questions relevant to the configuration, training, and inferencing of GPTs for the case of mPC treatment with a particular attention to risk mitigation regarding the hallucination problem and its implications to clinical integration of GenAI technologies. The case study provides elements of an actionable pathway to the realization of GenAI-assisted adaptive treatment of metastatic prostate cancer. As such, the study is expected to help facilitate the design of clinical trials of GenAI-supported cancer treatments. |
| format | Article |
| id | doaj-art-b64be428fc0d4f2a8ed2aba10d7f8bd2 |
| institution | Kabale University |
| issn | 1179-5549 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Clinical Medicine Insights: Oncology |
| spelling | doaj-art-b64be428fc0d4f2a8ed2aba10d7f8bd22025-01-06T13:03:19ZengSAGE PublishingClinical Medicine Insights: Oncology1179-55492025-01-011910.1177/11795549241311408Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial IntelligenceYoucef DerbalDespite the expanding therapeutic options available to cancer patients, therapeutic resistance, disease recurrence, and metastasis persist as hallmark challenges in the treatment of cancer. The rise to prominence of generative artificial intelligence (GenAI) in many realms of human activities is compelling the consideration of its capabilities as a potential lever to advance the development of effective cancer treatments. This article presents a hypothetical case study on the application of generative pre-trained transformers (GPTs) to the treatment of metastatic prostate cancer (mPC). The case explores the design of GPT-supported adaptive intermittent therapy for mPC. Testosterone and prostate-specific antigen (PSA) are assumed to be repeatedly monitored while treatment may involve a combination of androgen deprivation therapy (ADT), androgen receptor-signalling inhibitors (ARSI), chemotherapy, and radiotherapy. The analysis covers various questions relevant to the configuration, training, and inferencing of GPTs for the case of mPC treatment with a particular attention to risk mitigation regarding the hallucination problem and its implications to clinical integration of GenAI technologies. The case study provides elements of an actionable pathway to the realization of GenAI-assisted adaptive treatment of metastatic prostate cancer. As such, the study is expected to help facilitate the design of clinical trials of GenAI-supported cancer treatments.https://doi.org/10.1177/11795549241311408 |
| spellingShingle | Youcef Derbal Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence Clinical Medicine Insights: Oncology |
| title | Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence |
| title_full | Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence |
| title_fullStr | Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence |
| title_full_unstemmed | Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence |
| title_short | Adaptive Treatment of Metastatic Prostate Cancer Using Generative Artificial Intelligence |
| title_sort | adaptive treatment of metastatic prostate cancer using generative artificial intelligence |
| url | https://doi.org/10.1177/11795549241311408 |
| work_keys_str_mv | AT youcefderbal adaptivetreatmentofmetastaticprostatecancerusinggenerativeartificialintelligence |