Baxter Patent Portfolio
35 US patents · Average 25 claims per patent
Technology Focus Areas
Patent Details
| Patent # | Title | Granted | Expires | Claims | Status |
|---|---|---|---|---|---|
| 10004587 | Apparatus for improved computational operations in graphene environments | Dec 19, 2015 | Jul 14, 2031 | 43 | 5.3y left |
| 10004588 | System for optimized signal transmission in cloud networks | Jan 8, 2020 | May 24, 2036 | 44 | 10.1y left |
| 10004589 | Method for advanced channel estimation in analog communications | Jul 17, 2006 | Jan 2, 2022 | 41 | Expired |
| 10004590 | Method for dynamic machine learning inference using analog | Feb 8, 2010 | Jun 12, 2028 | 26 | 2.2y left |
| 10004591 | Apparatus for high-performance computational operations in blockchain environments | Dec 27, 2007 | Jun 25, 2023 | 45 | Expired |
| 10004592 | Method for modular channel estimation in nano-scale communications | Dec 11, 2005 | Jul 20, 2021 | 16 | Expired |
| 10004593 | Apparatus for enhanced computational operations in CMOS environments | Jul 24, 2012 | Dec 8, 2029 | 25 | 3.7y left |
| 10004594 | Method for multi-layer channel estimation in RF communications | Aug 7, 2024 | Mar 26, 2041 | 43 | 15.0y left |
| 10004595 | System for low-latency neural network processing with blockchain | Jun 7, 2021 | Nov 20, 2037 | 10 | 11.6y left |
| 10004596 | Computer-implemented method for configurable lidar optimization | Oct 26, 2026 | Nov 4, 2043 | 9 | 17.6y left |
| 10004597 | System and method for adaptive data processing using graphene | Feb 3, 2020 | Mar 18, 2038 | 9 | 11.9y left |
| 10004598 | Method for integrated channel estimation in 5G communications | Apr 20, 2022 | Jun 25, 2039 | 13 | 13.2y left |
| 10004599 | Method for configurable channel estimation in 5G communications | Jan 25, 2025 | Apr 6, 2041 | 12 | 15.0y left |
| 10004600 | System for efficient signal transmission in analog networks | Jun 6, 2024 | Feb 4, 2042 | 19 | 15.8y left |
| 10004601 | System for low-latency signal transmission in edge networks | Jan 2, 2026 | Jun 4, 2043 | 44 | 17.2y left |
| 10004602 | Method for advanced machine learning inference using CMOS | Nov 16, 2025 | Oct 2, 2043 | 34 | 17.5y left |
| 10004603 | System and method for low-latency data processing using cloud | Sep 20, 2019 | Aug 21, 2036 | 26 | 10.4y left |
| 10004604 | Method for modular machine learning inference using cloud | Feb 16, 2006 | Feb 14, 2023 | 6 | Expired |
| 10004605 | System for low-latency neural network processing with quantum | Nov 11, 2024 | Dec 13, 2040 | 36 | 14.7y left |
| 10004606 | System for high-performance signal transmission in nano-scale networks | Apr 5, 2018 | Jul 24, 2035 | 24 | 9.3y left |
| 10004607 | Apparatus for scalable computational operations in neural environments | Jul 27, 2023 | Apr 10, 2040 | 22 | 14.0y left |
| 10004608 | Method for multi-layer machine learning inference using lidar | Feb 3, 2015 | Apr 13, 2033 | 26 | 7.0y left |
| 10004609 | Method for distributed channel estimation in AI-driven communications | Jan 27, 2021 | Jan 26, 2038 | 24 | 11.8y left |
| 10004610 | Apparatus for autonomous data encoding in analog systems | Oct 6, 2005 | Mar 14, 2022 | 44 | Expired |
| 10004611 | System for dynamic signal transmission in cloud networks | Jun 21, 2019 | Jan 13, 2035 | 24 | 8.8y left |
| 10004612 | Computer-implemented method for multi-layer blockchain optimization | Jan 5, 2009 | Dec 26, 2025 | 32 | Expired |
| 10004613 | Apparatus for advanced data encoding in graphene systems | Mar 26, 2022 | Mar 16, 2038 | 48 | 11.9y left |
| 10004614 | System and method for configurable data processing using digital | Feb 22, 2018 | May 19, 2036 | 14 | 10.1y left |
| 10004615 | System and method for integrated data processing using neural | Jun 27, 2020 | Feb 1, 2037 | 20 | 10.8y left |
| 10004616 | Computer-implemented method for distributed quantum optimization | May 9, 2025 | Aug 25, 2042 | 32 | 16.4y left |
| 10004617 | System for enhanced neural network processing with blockchain | Nov 20, 2022 | May 24, 2039 | 7 | 13.1y left |
| 10004618 | System for distributed neural network processing with quantum | Mar 12, 2004 | Dec 11, 2022 | 33 | Expired |
| 10004619 | Method for integrated wireless communication using CMOS | Sep 24, 2018 | Nov 24, 2035 | 22 | 9.6y left |
| 10004620 | Method for high-performance channel estimation in cloud communications | Apr 2, 2017 | Mar 1, 2035 | 12 | 8.9y left |
| 10004621 | System for integrated neural network processing with CMOS | Jan 3, 2026 | Oct 22, 2042 | 7 | 16.5y left |
Frequently Asked Questions
Baxter holds 35 US patents with an average of 25 claims per patent. The portfolio has a Patent Strength Score of 38/100 (Grade D).
Baxter has 0 patents expiring within 2 years and 2 patents expiring within 5 years. The portfolio has a healthy time horizon.
Baxter's key technology focus areas include Computing & Data Processing, Telecommunications. The portfolio spans 2 distinct technology classifications (CPC codes).
The Patent Strength Score (0-100, A-F) benchmarks a company's patent portfolio quality based on portfolio size (30%), claims breadth (25%), time remaining to expiration (25%), and portfolio diversity across technology areas (20%).
Patent Strength Score is based on portfolio size, claims breadth, time to expiration, and technology diversity using CPC classifications.
The this entity record above pulls directly from the FDA Orange Book and USPTO patent records. What follows is the per-entity context — how this entity sits in the broader U.S. pharmaceutical patent expirations distribution and which underlying factors drive the headline numbers.
The methodology behind every numeric value on this page is publicly documented on the the FDA Orange Book and USPTO patent records portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.
Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. brand-name drugs. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.
Source: USPTO patent search, 2026.