PatchOmics: AI-Driven Microneedle System for Real-Time Multi-Omics Health Monitoring

Diya Anne

Abstract: This paper introduces PatchOmics, an AI-powered microneedle patch system designed for real-time, non-invasive multi-omics health monitoring. The system captures proteomic, metabolomic, and transcriptomic biomarkers from interstitial fluid and integrates them with user data via a federated AI model to deliver personalized health risk assessments. PatchOmics offers enhanced diagnostic accuracy (92%), rapid latency (1.2s), and strong privacy features, making it suitable for use in both clinical and low-resource settings. Simulated and modeled case studies demonstrate the platform?s potential in cardiometabolic risk profiling, neurodegenerative screening, and personalized wellness management. The work lays a foundation for scalable, secure, and inclusive preventive medicine.

Keywords: Microneedle Patch, Multi-omics Diagnostics, Personalized Healthcare, AI in Medicine, Real-Time Biosensing

How to Cite?: Diya Anne, "PatchOmics: AI-Driven Microneedle System for Real-Time Multi-Omics Health Monitoring", Volume 14 Issue 9, September 2025, International Journal of Science and Research (IJSR), Pages: 314-323, https://www.ijsr.net/getabstract.php?paperid=SR25708010455, DOI: https://dx.doi.org/10.21275/SR25708010455