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United States - Patent - Redrawing The Obviousness Standard: Graham Factors Overrule Rosen-Durling For Design Patents - Vimarsana News

United States - Patent - Redrawing The Obviousness Standard: Graham Factors Overrule Rosen-Durling For Design Patents

LKQ Corporation and Keystone Automotive Industries, Inc. (collectively "LKQ") filed a petition for inter partes review (IPR) to challenge the validity of GM Global Technology Operations LLC's ("GM")...

Source: mondaq.com
Redrawing the Obviousness Standard: Graham Factors Overrule Rosen-Durling for Design Patents | Brooks Kushman P.C. - Vimarsana News

Redrawing the Obviousness Standard: Graham Factors Overrule Rosen-Durling for Design Patents | Brooks Kushman P.C.

Brooks Kushman serves as design patent counsel for Ford Motor Company and has closely followed this case. Attorneys Frank Angileri and Marc Lorelli from Brooks Kushman filed an amicus...

Is a Claim Term's Whole Greater Than the Sum of Its Parts? | Axinn, Veltrop & Harkrider LLP - Vimarsana News

Is a Claim Term's Whole Greater Than the Sum of Its Parts? | Axinn, Veltrop & Harkrider LLP

Claim terms are usually given their ordinary meaning in light of the intrinsic evidence, but what if the ordinary meaning of two claim terms presents an obvious contradiction? That is...

Federal Circuit Weighs in on Relevance of Primary Reference's Intended Purpose to a POSITA's Motivation to Combine | Sheppard Mullin Richter & Hampton LLP - Vimarsana News

Federal Circuit Weighs in on Relevance of Primary Reference's Intended Purpose to a POSITA's Motivation to Combine | Sheppard Mullin Richter & Hampton LLP

In Medtronic, Inc., Medtronic Vascular, Inc., v. Teleflex Innovations S.A.R.L., the case addresses the weight the Patent Trial and Appeal Board (PTAB) should give to the intended...

Artificial Intelligence in Drug Development: Patent Considerations - Vimarsana News

Artificial Intelligence in Drug Development: Patent Considerations

The biopharmaceutical and healthcare fields produce massive amounts of data.... AI systems trained on such data can streamline and optimize the drug development process.