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

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.

Publication

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.

Pan-Cancer Atlas resource card graphic

Building a Pan-Cancer Atlas of Therapeutic T Cell Targets

How NYU researchers used large-scale immunopeptidomics and AI-enabled peptide identification to identify 28,446 tumor-specific antigens and accelerate therapeutic target discovery.

Guangyuan (Frank) Li, PhD, NYU Langone Health