Scientific poster

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

Mass spectrometry (MS)-based proteomics enables high-throughput identification and quantification of proteins in complex biological systems.

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Technical explainers, publications, guides, and perspectives on proteomics data analysis and biological discovery.
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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.

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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.

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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.