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2025
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| Online Access: | https://doi.org/10.5281/zenodo.17790358 |
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| author | Rahmani zarnagh, Abbas |
| author_facet | Rahmani zarnagh, Abbas |
| contents | <p>This document presents the patent proposal for the “Home-Based AI-Integrated Personalized Medicine Production System,” a decentralized pharmaceutical micro-production platform designed for household use. The invention enables personalized medication formulation through an AI-guided workflow that integrates remote diagnostics, encrypted prescription delivery, precision micro-dosing, and automated in-device pharmaceutical preparation.</p> <p>The system operates through standardized raw-material cartridges, micro-pumps, flow-control valves, a sealed mixing chamber, and advanced sensor-based verification mechanisms. Diagnostic instructions are generated by a global AI healthcare network and transmitted securely to the device, allowing the user to produce safe and accurate personalized medications on demand.</p> <p>This invention addresses limitations in current healthcare infrastructure, including limited access to medicines, high distribution costs, and slow emergency response capacity. It eliminates dependency on centralized pharmaceutical supply chains by empowering each household to function as a micro-pharmacy.</p> <p>The system enhances treatment accuracy by tailoring formulations to each patient’s real-time medical status. It also ensures safety through temperature, optical, chemical, and viscosity sensors that validate each step of production. The invention is particularly effective for remote regions, emergency conditions, chronic disease management, and environments with limited clinical resources.</p> <p>Overall, this patent defines a transformative approach to global pharmaceutical accessibility by integrating AI diagnostics, home-based drug manufacturing, and continuous medical optimization into one unified ecosystem.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17790358 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Home-Based AI-Integrated Personalized Medicine Production System – Patent Proposal Rahmani zarnagh, Abbas <p>This document presents the patent proposal for the “Home-Based AI-Integrated Personalized Medicine Production System,” a decentralized pharmaceutical micro-production platform designed for household use. The invention enables personalized medication formulation through an AI-guided workflow that integrates remote diagnostics, encrypted prescription delivery, precision micro-dosing, and automated in-device pharmaceutical preparation.</p> <p>The system operates through standardized raw-material cartridges, micro-pumps, flow-control valves, a sealed mixing chamber, and advanced sensor-based verification mechanisms. Diagnostic instructions are generated by a global AI healthcare network and transmitted securely to the device, allowing the user to produce safe and accurate personalized medications on demand.</p> <p>This invention addresses limitations in current healthcare infrastructure, including limited access to medicines, high distribution costs, and slow emergency response capacity. It eliminates dependency on centralized pharmaceutical supply chains by empowering each household to function as a micro-pharmacy.</p> <p>The system enhances treatment accuracy by tailoring formulations to each patient’s real-time medical status. It also ensures safety through temperature, optical, chemical, and viscosity sensors that validate each step of production. The invention is particularly effective for remote regions, emergency conditions, chronic disease management, and environments with limited clinical resources.</p> <p>Overall, this patent defines a transformative approach to global pharmaceutical accessibility by integrating AI diagnostics, home-based drug manufacturing, and continuous medical optimization into one unified ecosystem.</p> |
| title | Home-Based AI-Integrated Personalized Medicine Production System – Patent Proposal |
| url | https://doi.org/10.5281/zenodo.17790358 |