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Bridging the Gap From Proteomics Technology to Clinical Application: Highlights From the 68th Benzon Foundation Symposium

  • Vincent Albrecht
  • , Johannes Müller-Reif
  • , Thierry M Nordmann
  • , Andreas Mund
  • , Lisa Schweizer
  • , Philipp E Geyer
  • , Lili Niu
  • , Juanjuan Wang
  • , Frederik Post
  • , Marc Oeller
  • , Andreas Metousis
  • , Annelaura Bach Nielsen
  • , Medini Steger
  • , Nicolai J Wewer Albrechtsen
  • , Matthias Mann
22 Citationer (Scopus)

Abstract

The 68th Benzon Foundation Symposium brought together leading experts to explore the integration of mass spectrometry-based proteomics and artificial intelligence to revolutionize personalized medicine. This report highlights key discussions on recent technological advances in mass spectrometry-based proteomics, including improvements in sensitivity, throughput, and data analysis. Particular emphasis was placed on plasma proteomics and its potential for biomarker discovery across various diseases. The symposium addressed critical challenges in translating proteomic discoveries to clinical practice, including standardization, regulatory considerations, and the need for robust "business cases" to motivate adoption. Promising applications were presented in areas such as cancer diagnostics, neurodegenerative diseases, and cardiovascular health. The integration of proteomics with other omics technologies and imaging methods was explored, showcasing the power of multimodal approaches in understanding complex biological systems. Artificial intelligence emerged as a crucial tool for the acquisition of large-scale proteomic datasets, extracting meaningful insights, and enhancing clinical decision-making. By fostering dialog between academic researchers, industry leaders in proteomics technology, and clinicians, the symposium illuminated potential pathways for proteomics to transform personalized medicine, advancing the cause of more precise diagnostics and targeted therapies.

OriginalsprogEngelsk
Artikelnummer100877
TidsskriftMolecular & Cellular Proteomics
Vol/bind23
Udgave nummer12
Sider (fra-til)100877
ISSN1535-9484
DOI
StatusUdgivet - dec. 2024

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