AI-enhanced analysis of mass spectrometry data yields higher identifications and faster insights with an intuitive chat interface for DDA and DIA datasets

Our collaborators at MD Anderson Cancer Center have deposited a preprint on bioRxiv benchmarking narrow-window DIA with Tesorai Search, achieving the deepest proteome coverage among 12 acquisition-analysis pipelines tested while maintaining rigorous FDR control.

A new Tesorai preprint validates a proposed seven-protein blood biomarker panel for Alzheimer's staging by reanalyzing five independent brain proteomics cohorts, recovering a key biomarker, p-tau217, that was missing from the original studies.

Fine-tuning a single-cell foundation model on proteomics data matches or beats scaling to models over 40x larger — showing multimodal training can outperform parameter scaling alone.