Artificial intelligence in mass spectrometry-based proteomics
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Advances in mass spectrometry-based proteomics enable researchers to acquire large-scale datasets with hundreds to thousands of samples. Artificial intelligence (AI) technologies are now applied across the entire proteomics workflow and can be used to distill meaningful insight from clinical proteomics data. While there are still substantial challenges, proteomics-fueled AI has great potential to improve health outcomes.
Original language | English |
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Title of host publication | Artificial Intelligence in Clinical Practice : How AI Technologies Impact Medical Research and Clinics |
Number of pages | 6 |
Publisher | Elsevier |
Publication date | 2024 |
Pages | 389-394 |
ISBN (Print) | 9780443156892 |
ISBN (Electronic) | 9780443156885 |
DOIs | |
Publication status | Published - 2024 |
Bibliographical note
Publisher Copyright:
© 2024 Elsevier Inc. All rights reserved.
- artificial intelligence, deep learning, Machine learning, mass spectrometry, proteome, proteomics
Research areas
ID: 375308340