Accelerating the Data-Driven Development of Deep Learning Models for MS Proteomics with Automated and Scalable MLOps

Deep learning has become essential for modern mass spectrometry (MS) data analysis, but the development cycle is time-consuming and iterative. In many cases, this cycle fails, becoming tedious, convoluted, and
prone to errors due to the lack of specialized tools that optimally combine expert human control with process automation.
At Biognosys, we have developed a MLOps platform that meets these requirements: it minimizes human intervention, reserving it only for expert decision-making tasks and selecting the best models based on the application.