Seer (SEER) Morgan Stanley 22nd Annual Global Healthcare Conference summary
Event summary combining transcript, slides, and related documents.
Morgan Stanley 22nd Annual Global Healthcare Conference summary
22 Jan, 2026Product innovation and differentiation
Proteograph enables untargeted, scalable, and robust proteomic studies, overcoming limitations of targeted affinity-based methods and mass spectrometry scalability.
The platform compresses protein dynamic range, allowing deep, unbiased analysis and high reproducibility across sites and batches.
Recent product improvements focus on deeper proteome coverage, higher throughput, lower sample volume, and enhanced cloud-based analytics.
Proteograph XT offers premium performance, with competitors' products showing lower depth and reproducibility in independent studies.
Ongoing innovation aims to maintain a technological lead, with future releases expected to further advance capabilities.
Commercial strategy and customer adoption
Strategic Instrument Placement (SIP) program lowers adoption barriers, with about half of placements using SIP and strong conversion to purchases.
Academic customers benefit from SIP by generating data for grants, while commercial adoption is slightly higher overall.
Macroeconomic headwinds have softened instrument and consumable spending, but consistent pull-through and growing customer validation provide tailwinds.
STAC program and platform accessibility are attracting new users from genomics and cell biology, expanding the customer base.
Customer feedback highlights ease of use, automation, and robust, reproducible results as key adoption drivers.
Scientific impact and publications
Rapid increase in peer-reviewed and preprint publications, with 18 published and 9 in preprint as of the last eight months.
Studies demonstrate the platform's ability to discover novel biomarkers in large-scale, longitudinal studies, such as in oncology and neurology.
Untargeted proteomics with Proteograph reveals biomarkers missed by affinity panels, enabling deeper biological insights.
Recent studies highlight the limitations of affinity-based pQTLs due to epitope effects, with mass spec validation showing a third of previous findings may be artifacts.
High-profile publications are catalyzing further adoption and interest from both academic and pharma sectors.
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