Quantum Gradient Optimized Drug Repurposing Prototype for Omics Data
Don Roosan, Saif Nirzhor, Rubayat Khan, Fahmida Hai

TL;DR
This paper introduces a quantum-enhanced prototype designed to improve drug repurposing efforts by efficiently handling large-scale genomics data in precision medicine applications.
Contribution
It presents a novel quantum-based approach specifically tailored for drug repurposing using omics data, advancing the integration of quantum computing in biomedical research.
Findings
Demonstrates potential of quantum algorithms in processing large genomics datasets
Shows improved efficiency over classical methods in drug repurposing tasks
Lays groundwork for future quantum applications in precision medicine
Abstract
This paper presents a novel quantum-enhanced prototype for drug repurposing and addresses the challenge of managing massive genomics data in precision medicine.
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Taxonomy
TopicsMetabolomics and Mass Spectrometry Studies · Bioinformatics and Genomic Networks · Health, Environment, Cognitive Aging
