Open Text Sa Ulc

Open Text Corporation

Mcgill University

Crowdstrike, Inc.

Martinex R & D Inc.

Daniel Leclerc

Steve Molloy

Charles-Olivier Simard

Alex Bowyer

Jody Hupton Palmer

Alexander Lilko

Alex Dowgailenko

Maxime Dubois

Rima Rozen

Roy A Gravel

Aaron Wilson

David Rosenblatt

Philippe Goyette

Eric Campeau

In an auto-classification system, example documents whose content exemplifies a content category or classification can be imported into a classification model. The classification model is tested to assess accuracy. Based on the testing, metrics or other information can be provided as feedback to a user. The user can iteratively refine the classification model and keep re-running the classifications to view how each change to the classification model improves accuracy. If no user refinement is desired, the auto-classification system classifies documents utilizing the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

Auto-classification system and method with dynamic user feedback

An information integration system may include a set of integration services embodied on one or more server machines in a computing environment. The set of integration services may include connectors communicatively connected to disparate information systems. The connectors are configured for integrating data utilizing a common model comprising a content management interoperability services data model, common property definitions, and a common security model particularly defined for use by the set of integration services. Responsive to a user query to search disparate information systems or a subset thereof, an application may communicate metadata of interest contained in the user query to a search engine which locates, via a unified index, requested data from the disparate information systems or a subset thereof. The search engine returns search results referencing the requested data to the application which interprets the search results and displays a visualization thereof on a client device.

Systems, methods and computer program products for information management across disparate information systems

An auto-classification system and method provides dynamic user feedback in a guide that is presented to the user. The feedback presented in the guide enables the user to refine the classification model by adding or removing exemplars, creating, editing or deleting rules, or performing other such adjustments to the classification model. This technology enhances the overall transparency and defensibility of the auto-classification process.

The invention features a novel gene encoding methionine synthase reductase. The invention also features a method for detecting an increased likelihood of hyperhomocysteinemia and, in turn, an increased or decreased likelihood of neural tube defects, cardiovascular disease, Down's Syndrome or cancer. The invention also features therapeutic methods for treating and/or reducing the risk of cardiovascular disease, Down's Syndrome, cancer, or neural tube defects. Also provided are the sequences of the human methionine synthase reductase gene and protein and compounds and kits for performing the methods of the invention.

Human methionine synthase reductase: cloning, and methods for evaluating risk of, preventing, or treating neural tube defects, cardiovascular disease, cancer, and down's syndrome

The invention features a novel gene encoding methionine synthase reductase. The invention also features a method for detecting an increased likelihood of hyperhomocysteinemia and, in turn, an increased or decreased likelihood of neural tube defects, cardiovascular disease, or cancer. The invention also features therapeutic methods for treating and/or reducing the risk of cardiovascular disease, cancer, or neural tube defects. Also provided are the sequences of the human methionine synthase reductase gene and protein and compounds and kits for performing the methods of the invention.

Human methionine synthase reductase: cloning, and methods for evaluating risk of neural tube defects, cardiovascular disease, and cancer

The invention features a method for detecting an increased likelihood of hyperhomocysteinemia and, in turn, an increased or decreased likelihood of neural tube defects or cardiovascular disease. The invention also features therapeutic methods for reducing the risk of neural tube defects, colon cancers and related cancers. Also provided are the sequences of the human methionine synthase gene and protein and compounds and kits for performing the methods of the invention.

Human methionine synthase: cloning, and methods for evaluating risk of neural tube defects, cardiovascular disease, and cancer

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Montreal, Canada

Daniel Leclerc