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PatentCliff

Bristol-Myers Squibb Patent Portfolio

42 US patents · Average 28 claims per patent

D
Patent Strength
38/100
42
Total Patents
28
Avg Claims
6
Expiring in 2 Years
8
Expiring in 5 Years

Technology Focus Areas

Computing & Data ProcessingG06
42 patents
TelecommunicationsH04
42 patents

Patent Details

Patent #TitleGrantedExpiresClaimsStatus
10002814System and method for modular data processing using analogJun 6, 2008Dec 16, 202532Expired
10002815System for efficient signal transmission in CMOS networksJan 13, 2006Feb 20, 202314Expired
10002816System and method for low-latency data processing using RFAug 15, 2016Feb 22, 2032495.9y left
10002817Apparatus for adaptive data encoding in AI-driven systemsSep 20, 2025Jun 11, 20413115.2y left
10002818Apparatus for distributed computational operations in lidar environmentsJan 2, 2008Oct 20, 202528Expired
10002819Apparatus for advanced data encoding in graphene systemsFeb 7, 2024Nov 5, 2042916.6y left
10002820Method for optimized channel estimation in photonic communicationsJun 23, 2010Oct 3, 2026160.5y left
10002821Method for modular machine learning inference using edgeJul 15, 2005May 18, 202228Expired
10002822Method for optimized channel estimation in blockchain communicationsFeb 17, 2012May 18, 203094.1y left
10002823System for advanced neural network processing with photonicMar 23, 2010Dec 13, 2026490.7y left
10002824Method for low-latency machine learning inference using neuralJul 23, 2025Jul 2, 20432217.2y left
10002825System for improved signal transmission in digital networksNov 28, 2016May 18, 203286.1y left
10002826Method for autonomous wireless communication using MEMSAug 2, 2021Aug 7, 20384112.3y left
10002827Method for autonomous channel estimation in digital communicationsFeb 9, 2025Mar 7, 20412614.9y left
10002828Method for advanced wireless communication using 5GJan 17, 2023Mar 14, 20411914.9y left
10002829Apparatus for efficient computational operations in RF environmentsSep 1, 2007Dec 26, 202318Expired
10002830Computer-implemented method for enhanced photonic optimizationMar 10, 2022Jul 12, 20382512.3y left
10002831Method for advanced machine learning inference using cloudMay 15, 2019Oct 7, 20372211.5y left
10002832Method for scalable wireless communication using quantumApr 26, 2018Jun 13, 2035489.2y left
10002833Method for high-performance wireless communication using photonicNov 18, 2016Mar 8, 2032305.9y left
10002834Method for efficient channel estimation in digital communicationsFeb 7, 2027Sep 2, 2044518.4y left
10002835System for multi-layer neural network processing with photonicJun 28, 2010Jul 17, 2027251.3y left
10002836Apparatus for multi-layer data encoding in blockchain systemsNov 14, 2021Jan 7, 20371610.8y left
10002837Apparatus for low-latency data encoding in graphene systemsSep 23, 2022Apr 27, 20404614.1y left
10002838System for scalable neural network processing with quantumOct 11, 2018Oct 23, 2035399.5y left
10002839Method for scalable channel estimation in neural communicationsNov 2, 2008Sep 24, 202526Expired
10002840Method for advanced machine learning inference using quantumFeb 10, 2022Feb 26, 20402713.9y left
10002841System for high-performance neural network processing with quantumJul 10, 2011Aug 19, 2029323.4y left
10002842Method for distributed channel estimation in cloud communicationsAug 7, 2004Dec 4, 202243Expired
10002843Method for scalable channel estimation in CMOS communicationsApr 24, 2010Jan 14, 2028391.8y left
10002844System for optimized signal transmission in cloud networksDec 25, 2025Jun 15, 20433717.2y left
10002845Method for high-performance machine learning inference using photonicAug 9, 2023Oct 16, 20391413.5y left
10002846Method for optimized channel estimation in digital communicationsNov 11, 2004Dec 21, 202037Expired
10002847System for low-latency neural network processing with edgeFeb 1, 2010May 13, 2027221.1y left
10002848System for high-performance neural network processing with edgeJul 18, 2005Dec 25, 202246Expired
10002849System for multi-layer neural network processing with CMOSFeb 25, 2021Feb 23, 20374310.9y left
10002850Computer-implemented method for efficient analog optimizationNov 13, 2009Mar 26, 202547Expired
10002851Apparatus for integrated data encoding in MEMS systemsDec 13, 2009Nov 27, 2026190.6y left
10002852System for distributed signal transmission in graphene networksJan 11, 2008Jul 21, 202522Expired
10002853Computer-implemented method for optimized RF optimizationJun 7, 2019Dec 19, 20372511.7y left
10002854Apparatus for optimized data encoding in analog systemsAug 14, 2019Nov 10, 20364310.6y left
10002855Method for integrated machine learning inference using grapheneApr 1, 2008Sep 19, 202412Expired

Related Patent Portfolios

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Frequently Asked Questions

Bristol-Myers Squibb holds 42 US patents with an average of 28 claims per patent. The portfolio has a Patent Strength Score of 38/100 (Grade D).

Bristol-Myers Squibb has 6 patents expiring within 2 years and 8 patents expiring within 5 years. These expirations may create opportunities for competitors and generic entrants.

Bristol-Myers Squibb'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%).

Last updated:

Patent Strength Score is based on portfolio size, claims breadth, time to expiration, and technology diversity using CPC classifications.

this entity is one of the data points covered by this site’s U.S. pharmaceutical patent expirations dataset. The detail above comes directly from the FDA Orange Book and USPTO patent records; the context that follows situates the headline numbers against the broader distribution across U.S. brand-name drugs.

Every number on this page links back to the FDA Orange Book and USPTO patent records; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.

For readers using this page as a decision input, the related-entity pages elsewhere on the site provide the comparison set. The most useful comparison for this entity is typically a peer within U.S. brand-name drugs with similar size, similar exposure, or similar geography — not the national-level summary alone.

Source: USPTO patent search, 2026.