101 research outputs found
Keynote Address: Stalemate or Statesmen: What is Needed to Move Forward Constructively With the Balancing of America\u27s IP System?
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Open Source Software and Standards Development Organizations: Symbiotic Functions in the Innovation Equation
A Technological Contribution Requirement for Patentable Subject Matter: Supreme Court Precedent and Policy
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The Truth About OSS-FRAND: By All Indications, Compatible Models in Standards Settings
Open source software (“OSS”) has inevitably found its way into standards that contain standard essential patents (“SEPs”). However, some questions remain as to whether OSS licensing is inherently compatible with the FRAND licensing (“fair, reasonable, and non-discriminatory”) that governs SEPs. Some argue that a license's compliance with the Open Source Initiative’s “Open Source Definition” (“OSD”) has always been understood to preclude patent royalties for the licensor by implicitly granting patent rights to the licensee. This Comment examines the historical record and finds no significant support for the notion that OSD-compliant licenses generally convey patent rights and thus preclude patent royalties
Prognostic factors for long-term outcomes in relapsing-remitting multiple sclerosis
Objective: The objective of this article is to investigate potential clinical and MRI predictors of long-term outcomes in multiple sclerosis (MS).
Methods: This was a post hoc analysis using data from all 382 patients in the PRISMS long-term follow-up (LTFU) study collected up to eight years after randomisation. An additional analysis was performed including only those patients originally randomised to receive early subcutaneous interferon (IFN) β-1a (n = 259). Baseline/prestudy variables, indicators of early clinical and MRI activity (baseline to month 24), and indicators of IFN β-1a treatment exposure (including medication possession ratio (MPR)) were investigated as candidate prognostic factors for outcomes measured from baseline and from month 24 to LTFU. Explanatory variables identified from univariate regression models (p ≤ 0.15) were selected for inclusion in stepwise multiple regression models.
Results: Candidate prognostic factors selected by the univariate analysis (p ≤ 0.15) included age, MS duration, baseline brain volume, EDSS score, and log(T2 burden of disease (BOD)). In most of the multivariate regression models applied, higher baseline brain volume and MPR predicted better long-term clinical outcomes, while higher baseline and greater early increase in EDSS score predicted worse outcomes.
Conclusion: Identification of markers that may be prognostic for long-term disability could help identify MS patients at higher risk of disability progression
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