Journal Article

PUBDB-2024-07584

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png How quantum computing can enhance biomarker discovery for multi-factorial diseases

Flöther, F. F. ; Blankenberg, D. ; Demidik, M. (Corresponding author)DESY* ; Jansen, K.DESY* ; Krishnakumar, R. ; Krishnakumar, R. ; Laanait, N. ; Parida, L. ; Saab, C. ; Utro, F.

2025
Elsevier [Amsterdam]

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Please use a persistent id in citations: doi:10.1016/j.patter.2025.101236  doi:10.3204/PUBDB-2024-07584

Report No.: arXiv:2411.10511

Abstract: Biomarkers play a central role in medicine's gradual progress towards proactive, personalized precision diagnostics and interventions. However, finding biomarkers that provide very early indicators of a change in health status, particularly for multi-factorial diseases, has been challenging. 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 paper, 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 - multi-dimensional, time series, and erroneous data - and covers key data modalities in healthcare - electronic health records (EHRs), omics, and medical images. An outlook is provided concerning open research challenges.

Note: How quantum computing can enhance biomarker discovery. Patterns (2025)

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Contributing Institute(s):

1. Centre f. Quantum Techno. a. Application (CQTA)

Research Program(s):

1. 611 - Fundamental Particles and Forces (POF4-611) (POF4-611)
2. QUEST - QUantum computing for Excellence in Science and Technology (101087126) (101087126)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2025

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Database coverage:
; ; ; ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; SCOPUS ; Web of Science Core Collection

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint Flöther, F. F. (Corresponding author) ; Blankenberg, D. ; Demidik, M.DESY* ; Jansen, K.DESY* ; Krishnakumar, R. ; Krishnakumar, R. ; Laanait, N. ; Parida, L. ; Saab, C. Y. ; Utro, F.
How quantum computing can enhance biomarker discovery
[10.3204/PUBDB-2026-00044]     Files  Fulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

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