General Electric Company

Google Inc.

Ge Healthcare Bio-sciences Corp.

Colin Craig McCulloch

Yi Zhang

Bahman Rabii

Ricardo Scott Avila

Gaofeng Zhao

Brion Daryl Sarachan

Peter Alan Gregg

Niyati Yagnik

Fiona Ginty

Manohar Karkal Prabhu

Zhengyu Pang

Timothy S Lipus

Michael Eugene Aiello

Creighton Thomas

Megan Pearl Rothney

Philippe Giguere

Ajay Kumar Bangla

Shilpa Arora

Peter Michael Edic

Samit Kumar Basu

John Anderson Fergus Ross

Bruno Kristiaan Bernard De Man

Scott Charles Evans

Robert John Filkins

James Vradenburg Miller

William E Lorensen

Yingwei Cui

Waseem Ibrahim Faidi

Rui Chen

Thomas Baby Sebastian

Robert August Kaucic

Alberto Santamaria-Pang

Joseph Leagrand Mundy

Deborah Joy Walter

Matthew William Turek

Paulo Ricardo Dos Santos Mendonca

William Macomber Leue

Megan Michela Wilson

Vidya Pundalik Kamath

Christopher James Sevinsky

Lang Tong

Angela Patterson

Thomas Paul Repoff

Siddhanth Chandrashekar

Michael S Lazare

Abhishek Srivastava

Nicholas Joseph Tobergte

Angshuman Saha

Vineel Gujjar

John David Hilton, Jr

Pameet Singh

Paula Marie Harrison

Yingweii Cui

Shannon Lee Hastings

Jingyu Zhang

Joshua Benjamin Schoenstedt

Andrew Ferree

Manisha Srivastava

The present disclosure selects third party content based on feedback. A selector identifies several content items including first and second content items (or more) responsive to a request. A machine learning engine determines a first feature of the first content item, a second feature of the second content item, and a third feature of the web page or a device associated with the request. The machine learning engine determines, responsive to the first feature and the third feature, a first score for the first content item based on a machine learning model generated using historical signals received from devices via a metadata channel formed from an electronic feedback interface. The machine learning engine determines a second score for the second content item responsive to the second feature and the third feature. A bidding module determines a price for the first content item based on the first and second scores.

Systems and methods for selecting third party content based on feedback

A computer-implemented method for recalibrating nacelle-positions of a plurality of wind turbines in a wind park is implemented by a nacelle calibration computing device including a processor and a memory device coupled to the processor. The method includes identifying at least two associated wind turbines included within the wind park wherein each associated wind turbine includes location information, determining a plurality of predicted wake features for the associated wind turbines based at least partially on the location information of each associated wind turbine, retrieving a plurality of historical performance data related to the associated wind turbines, determining a plurality of current wake features based on the plurality of historical performance data, identifying a variance between the predicted wake features and the current wake features, and determining a recalibration factor for at least one of the associated wind turbines based on the identified variance.

Systems and methods for wind turbine nacelle-position recalibration and wind direction estimation

The present invention provides a microscope slide for analyzing a tissue sample. The slide includes an elongate planar substrate, which comprises a first major surface having a sample-affixing area within which a tissue sample may be affixed; a first positive control sample affixed on the first major surface at a first location adjacent to the sample-affixing area; and a second positive control sample affixed on the first major surface at a second location adjacent to the sample-affixing area. The first and second locations are spaced such that quality of the staining of the first and second positive control samples is indicative of the quality of the staining of the tissue sample. Also provided are a kit containing the microscope slide and a method of making and a method of using the microscope slide.

Microscope slides with quality controls thereon

A control system for use with a plurality of wind turbines includes a processor and a memory device coupled to the processor. The memory device is configured to store a plurality of program modules that, when executed by the processor, configure the processor to receive data representative of a power generation of a first wind turbine of the plurality of wind turbines, and determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the power generation of the first wind turbine.

Control system and method of predicting wind turbine power generation

Exemplary embodiments enable determination of spatial proximity between two or more features in biological tissue. An exemplary method includes identifying a morphological feature in an image of the biological tissue based on expression levels of a first biomarker indicative of the morphological feature, and receiving a result of a segmentation analysis performed on the image of the biological tissue identifying a set of morphological units in the image external to the morphological feature. An exemplary method includes determining an expression level of a second biomarker corresponding to each unit in the set of morphological units in the image of the biological tissue, and determining a spatial distance between the morphological feature and each unit in the set of morphological units. An exemplary method further includes automatically determining a relationship between expression levels of the second biomarker and corresponding spatial distance from the morphological feature of the set of morphological units.

Determination of spatial proximity between features of interest in biological tissue

The invention relates generally to a process of analyzing and visualizing the expression of biomarkers in an individual cell wherein the cell is examined to develop patterns of expression by using a grouping algorithm, and a system to perform and display the analysis.

Process and system for analyzing the expression of biomarkers in a cell

Embodiments disclosed herein include methods, systems, and devices for determining a positive or negative correlation between a clinical outcome and one or more features of biological tissue. An exemplary user interface enables a user to select a clinical outcome and one or more aspects of a displayed field-of-view of biological tissue. Exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of the user-selected aspects of the field-of-view of biological tissue. For example, exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of one or more biological units in the biological tissue.

Systems and methods for performing correlation analysis on clinical outcome and characteristics of biological tissue

The present disclosure relates to an approach by which low-performing turbines may be identified from among a plurality of wind turbines, such as may be present at a wind power plant. In accordance with one embodiment, low-performing turbines are identified from among pairs of turbines and based upon a comparison of the observed and expected performance of the turbines within each pair.

Systems and methods for identifying wind turbine performance inefficiency

A technique is disclosed for generating variance data and a variance map from measured projection data acquired from a tomography system. The method comprises accessing the measured projection data from the tomography system. The method further comprises generating the variance map from the measured projection data and displaying, analyzing or processing the variance map. The variance data is determined based upon a statistical model from measured image data, and may be used for image analysis, data acquisition, in computer aided diagnosis routines, and so forth.

Method and apparatus for efficient calculation and use of reconstructed pixel variance in tomography images

A method for optimizing an operation of at least one wind turbine includes defining a plurality of test parameters that include a plurality of test points for at least one wind turbine operational parameter, wherein each test point includes a plurality of test values for the wind turbine operational parameter, and defining at least one test sequence of the plurality of test points. The method also includes initiating a test that executes the plurality of test points within the at least one randomized test sequence and measures at least one operating condition of the at least one wind turbine at each test point.

Method and apparatus for optimizing wind turbine operation

A method for processing medical images for use in the detection and diagnosis of disease comprises classifying regions of interest within the medical images based on a hierarchy of anatomical models and signal models of signal information of an image acquisition device used to acquire the medical images. The anatomical models are derived to be representative of anatomical information indicative of a given disease. A computer-aided system for use in the diagnosis and detection of disease comprises an image acquisition device for acquiring a plurality of image data sets and a processor adapted to process the image data sets. The processor is adapted to classify selected tissue types within the image data sets based on a hierarchy of signal and anatomical models and the processor is further adapted to differentiate anatomical context of the classified tissue types for use in the diagnosis and detection of disease.

Method and system for lung disease detection

Growing community of inventors

Ballston Lake, NY, United States of America

Colin Craig McCulloch