International Journal of Clinical Drug Practice & Pharmacotherapy

Open Access • Peer Reviewed • Quarterly Publication

From Photons to Patients: AI-Driven Photonic Systems for Global Health

Authors: Ndenga Lumbu Barack
Published: 2026-04-08
Pages: 1-6
DOI: 10.63721/26IJCDPP0101
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Abstract

This paper presents a unifying scientific framework that bridges photonics, artificial intelligence (AI), and biomedical computation to redefine the concept of global healthcare. By translating photon-based information processing into actionable clinical intelligence, the study establishes the foundation of Photon AI Global Health Systems an integrative medical architecture where diagnostic, therapeutic, and predictive functions operate with light-speed precision and energy efficiency. Building upon previous advances in photon-assisted molecular docking, real-time AI photon interaction map ping, and adaptive therapeutic optimization, this research extends the paradigm from microscopic molecular analysis to macroscopic clinical ecosystems. The proposed model envisions a distributed network of photonic medical processors capable of autonomous decision-making, self-learning diagnostics, and instant therapeutic recalibration across diverse healthcare environments. Crucially, this approach is designed for global equity: it can function in low-resource regions through miniaturized, solar-powered photonic units, enabling real-time diagnostics and treatment without dependence on large computational infrastructures. By merging quantum photonics, biocomputational, and AI ethics, the system represents a transformative leap toward sustainable, inclusive, and intelligent medicine where light becomes both the medium and the message of healing.

Copyright & License

© 2026 The Author(s). Published by WM Journals.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

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