Proteomics
AI (Artificial Intelligence) refers to the simulation of human intelligence processes by machines, especially computer systems, while machine learning is a subset of AI that focuses on the development of algorithms that allow computers to learn from and make predictions based on data. The integration of AI and machine learning into proteomics research holds great promise for enhancing data analysis, improving biomarker discovery, and facilitating personalized medicine. By automating complex data interpretation and pattern recognition, these technologies can lead to more efficient and accurate outcomes in research.
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