How quantum computing can enhance biomarker discovery

2024/11/15 by Frederik F. Flöther, Daniel Blankenberg, Maria Demidik +8 · 2 voices · 1 citation
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Bioinformatics and Genomic Networks #Machine Learning in Bioinformatics #Metabolomics and Mass Spectrometry Studies #q-bio.OT #quant-ph

paper · pdf · doi:10.1016/j.patter.2025.101236

arxiv published 2024/11/15 · arxiv updated 2025/02/09 · openalex publication_date 2025/04/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

Biomarkers play a central role in medicine's gradual progress toward proactive, personalized precision diagnostics and interventions. However, finding biomarkers that provide very early indicators of a change in health status, for example, for multifactorial diseases, has been challenging. The discovery of such biomarkers stands to benefit significantly from advanced information processing and means to detect complex correlations, which quantum computing offers. In this perspective, quantum algorithms, particularly in machine learning, are mapped to key applications in biomarker discovery. The opportunities and challenges associated with the algorithms and applications are discussed. The analysis is structured according to different data types-multidimensional, time series, and erroneous data-and covers key data modalities in healthcare-electronic health records, omics, and medical images. An outlook is provided concerning open research challenges.

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Cited by

• Quantum machine learning framework for longitudinal biomedical studies

Discussions

• 📜 New preprint on Potential Applications of Quantum Computing to Healthcare and Lifesciences 🧬 ⚛️

arxiv.org/abs/2411.10511

In this preprint we discuss some challenges in biomarker discovery and ho [bsky, 2 points, 1 comments]
• Thrilled to share our perspective on how #QuantumComputing can revolutionize #BiomarkerDiscovery! By leveraging #Quantum #algorithms, we're paving the way for #breakthroughs in #PrecisionMedicine and [bsky, 1 points, 0 comments]

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