AI-Driven Multi-Targeted Phytochemical Formulation for Prostate Cancer Prevention and Support: A Theoretical Framework for Research
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901945044697088 |
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| author | Landry, Marie Seshat |
| author_facet | Landry, Marie Seshat |
| contents | <p>Prostate cancer remains a leading cause of morbidity and mortality worldwide. Current treatments have limitations, prompting interest in complementary approaches like nutraceuticals. This study presents an AI-assisted, theoret-<br>ical multi-targeted phytochemical formulation (curcumin, resveratrol, EGCG, lycopene, quercetin, sulforaphane, berberine, apigenin, piperine, beta-glucans) computationally optimized for prostate cancer research based on molecular docking simulation, pharmacokinetic prediction, and synergy modeling. Literature and<br>computational analysis suggest this combination could target key pathways (AR modulation, PI3K/Akt/mTOR inhibition, inflammation, apoptosis, immune modulation). However, this research is strictly AI-assisted and theoretical, representing early-stage hypothesis generation. It carries significant limitations and potential risks if misinterpreted. Rigorous experimental validation (in vitro, in vivo) and clinical trials (Phase I/II) are absolutely mandatory before any therapeutic application or human consumption can be considered. This study serves only as a preliminary framework for research and does not constitute medical advice or a product recommendation. The proposed formulation requires extensive safety and efficacy testing and regulatory approval.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15110549 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-Driven Multi-Targeted Phytochemical Formulation for Prostate Cancer Prevention and Support: A Theoretical Framework for Research Landry, Marie Seshat Prostate cancer Phytochemicals <p>Prostate cancer remains a leading cause of morbidity and mortality worldwide. Current treatments have limitations, prompting interest in complementary approaches like nutraceuticals. This study presents an AI-assisted, theoret-<br>ical multi-targeted phytochemical formulation (curcumin, resveratrol, EGCG, lycopene, quercetin, sulforaphane, berberine, apigenin, piperine, beta-glucans) computationally optimized for prostate cancer research based on molecular docking simulation, pharmacokinetic prediction, and synergy modeling. Literature and<br>computational analysis suggest this combination could target key pathways (AR modulation, PI3K/Akt/mTOR inhibition, inflammation, apoptosis, immune modulation). However, this research is strictly AI-assisted and theoretical, representing early-stage hypothesis generation. It carries significant limitations and potential risks if misinterpreted. Rigorous experimental validation (in vitro, in vivo) and clinical trials (Phase I/II) are absolutely mandatory before any therapeutic application or human consumption can be considered. This study serves only as a preliminary framework for research and does not constitute medical advice or a product recommendation. The proposed formulation requires extensive safety and efficacy testing and regulatory approval.</p> |
| title | AI-Driven Multi-Targeted Phytochemical Formulation for Prostate Cancer Prevention and Support: A Theoretical Framework for Research |
| topic | Prostate cancer Phytochemicals |
| url | https://doi.org/10.5281/zenodo.15110549 |