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PTAB invalidates key claims of Brigham and Women’s patent

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PTAB invalidates key claims of Brigham and Women’s patent

The PTAB invalidated central claims of U.S. Patent No. 11,435,360, striking down the sole independent claim related to nanoparticle biomolecule coronas, a win for PreOmics/Biognosys (Bruker subsidiaries) and a setback for the patent holder/licensor Seer. Bruker (market cap $5.44B) reported Q4 2025 EPS of $0.59 vs $0.65 consensus (miss) but revenue of $977.2M vs $959.08M consensus (beat); shares are down ~27% YTD to $35.69. The company announced new spatial biology platforms (including PaintScape) with commercial shipments planned this spring, a board change (Dr. Cynthia M. Friend will not stand for re-election) and a declared quarterly dividend. Microsoft’s GigaTIME AI and concerns about demand for spatial proteomics were cited as headwinds that have pressured sector stocks such as Bruker and 10x Genomics.

Analysis

When an IP-based wedge erodes, instrument and consumable vendors are best positioned to convert that into revenue because they already own distribution, service, and recurring-revenue relationships. Consumables typically carry 40–60% gross margins and a high attach rate; an incremental 1–2% penetration into installed mass-spec labs can translate into low-double-digit revenue tailwinds for a $5–10B vendor over 12–24 months. The next 9–18 months are decisive: appellate outcomes and any licensing settlements will set durable legal boundaries, but commercial share shifts happen much faster — within 2–8 quarters — as labs test alternative workflows. Look for early read-throughs in order backlog, consumables ASPs, and software subscription churn; these metrics will move faster than headline revenue numbers and give leading indicators of share capture. Principal risks are binary legal reversals and rapid product substitution from AI-platform entrants that can lower willingness to pay for specialized spatial-proteomics platforms over a 6–24 month horizon. A balanced trade extracts upside from incumbents’ recurring revenues while hedging against a data/AI-led substitution where users prefer cheaper, model-driven inference over instrument-led measurements.

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