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AI-enhanced analysis of mass spectrometry data yields higher identifications and faster insights with an intuitive chat interface
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Publications
Integrating Narrow-Window DIA with AI-Powered Search Enables Deep and Reliable Functional Proteomics
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.

Publications
Rapid Mechanistic Bridging of an Alzheimer's Disease Plasma Protein Staging Panel Across Brain Proteomics Cohorts
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.

Publications
Single-cell foundation models benefit from cross-modal training: adding proteomics data beats parameter scaling
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.