How Is AI Shaping Proteomics and Multiomics?
Explore AI breakthroughs and challenges in proteomics and multiomics.
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Artificial intelligence (AI) is reshaping the proteomics and omics landscape, offering unprecedented potential to accelerate discoveries, enhance data interpretation and transform healthcare. With tools like DIA-NN, DeeProM and AlphaFold already demonstrating impact, researchers are beginning to unlock deeper insights into biology and disease.
In this interview, Associate Professor Qing Zhong shares how AI is pushing proteomics beyond conventional boundaries, the challenges that remain and what a truly data-driven future could look like. Continue reading to discover how improved data standards and global collaboration could set the stage for the next generation of biomedical breakthroughs.
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