Abstract: A method, system and computer readable media for a BMI using a fixed decoder based on ratios of different frequency bands, making the decoder robust, less jittery, and resistant to artifacts. The fixed decoder can be configured to use a limited subset of available channels. The decoder can therefore be optimized for each human subject (frequency bands to use, ratios to process the received signals, which channels, weights, etc.) and then fixed. Output from the fixed decoder can be provided to a training program that implements specific feedback and training parameters, thereby enabling subjects to learn to control devices rapidly, as well as consolidate this control. The training program provides continuous feedback of the current transformation being output by the fixed decoder in conjunction with feedback of the past transformations (e.g., up to a second before) and saliency of the feedback when goals of the task are achieved.
Type:
Grant
Filed:
July 13, 2016
Date of Patent:
December 24, 2019
Assignee:
FUNDAÇÄO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Inventors:
Nuno Loureiro, Vitor B. Paixão, Rui M.Costa, Fernando Santos
Abstract: Apparatus, methods, and computer-readable media are provided for segmentation, processing (e.g., preprocessing and/or postprocessing), and/or feature extraction from tissue images such as, for example, images of nuclei and/or cytoplasm. Tissue images processed by various embodiments described herein may be generated by Hematoxylin and Eosin (H&E) staining, immunofluorescence (IF) detection, immunohistochemistry (IHC), similar and/or related staining processes, and/or other processes. Predictive features described herein may be provided for use in, for example, one or more predictive models for treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
Type:
Grant
Filed:
July 26, 2017
Date of Patent:
May 15, 2018
Assignee:
FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Inventors:
Peter Ajemba, Richard Scott, Janakiramanan Ramachandran, Jack Zeineh, Michael Donovan, Gerardo Fernandez, Qiuhua Liu, Faisal Khan
Abstract: Clinical information, molecular information and/or computer-generated morphometric information is used in a predictive model for predicting the occurrence of a medical condition. In an embodiment, a model predicts whether a patient is likely to have a favorable pathological stage of prostate cancer, where the model is based on features including one or more (e.g., all) of preoperative PSA, Gleason Score, a measurement of expression of androgen receptor (AR) in epithelial and stromal nuclei and/or a measurement of expression of Ki67-positive epithelial nuclei, a morphometric measurement of a ratio of area of epithelial nuclei outside gland units to area of epithelial nuclei within gland units, and a morphometric measurement of area of epithelial nuclei distributed away from gland units. In some embodiments, quantitative measurements of protein expression in cell lines are utilized to objectively assess assay (e.g.
Type:
Grant
Filed:
August 28, 2009
Date of Patent:
October 3, 2017
Assignee:
FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Inventors:
Michael Donovan, Faisal Khan, Jason Alter, Gerardo Fernandez, Ricardo Mesa-Tejada, Douglas Powell, Valentina Bayer Zubek, Stefan Hamann, Carlos Cordon-Cardo, Jose Costa
Abstract: Apparatus, methods, and computer-readable media are provided for segmentation, processing (e.g., preprocessing and/or postprocessing), and/or feature extraction from tissue images such as, for example, images of nuclei and/or cytoplasm. Tissue images processed by various embodiments described herein may be generated by Hematoxylin and Eosin (H&E) staining, immunofluorescence (IF) detection, immunohistochemistry (IHC), similar and/or related staining processes, and/or other processes. Predictive features described herein may be provided for use in, for example, one or more predictive models for treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
Type:
Grant
Filed:
December 28, 2015
Date of Patent:
September 5, 2017
Assignee:
FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Inventors:
Peter Ajemba, Richard Scott, Janakiramanan Ramachandran, Jack Zeineh, Michael Donovan, Gerardo Fernandez, Qiuhua Liu, Faisal Khan
Abstract: Apparatus, methods, and computer-readable media are provided for segmentation, processing (e.g., preprocessing and/or postprocessing), and/or feature extraction from tissue images such as, for example, images of nuclei and/or cytoplasm. Tissue images processed by various embodiments described herein may be generated by Hematoxylin and Eosin (H&E) staining, immunofluorescence (IF) detection, immunohistochemistry (IHC), similar and/or related staining processes, and/or other processes. Predictive features described herein may be provided for use in, for example, one or more predictive models for treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
Type:
Application
Filed:
December 28, 2015
Publication date:
June 30, 2016
Applicant:
Fundacao D. Anna Sommer Champalimaud e Dr. Carlos Montez Champalimaud, dba Champalimaud Fnd
Inventors:
Peter Ajemba, Richard Scott, Janakiramanan Ramachandran, Jack Zeineh, Michael Donovan, Gerardo Fernandez, Qiuhua Liu, Faisal Khan
Abstract: Apparatus, methods, and computer-readable media are provided for segmentation, processing (e.g., preprocessing and/or postprocessing), and/or feature extraction from tissue images such as, for example, images of nuclei and/or cytoplasm. Tissue images processed by various embodiments described herein may be generated by Hematoxylin and Eosin (H&E) staining, immunofluorescence (IF) detection, immunohistochemistry (IHC), similar and/or related staining processes, and/or other processes. Predictive features described herein may be provided for use in, for example, one or more predictive models for treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
Type:
Grant
Filed:
January 30, 2013
Date of Patent:
March 15, 2016
Assignee:
FUNDACAO D. ANNA SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD
Inventors:
Peter Ajemba, Richard Scott, Janakiramanan Ramachandran, Jack Zeineh, Michael Donovan, Gerardo Fernandez, Qiuhua Liu, Faisal Khan
Abstract: Apparatus, methods, and computer-readable media are provided for segmentation, processing (e.g., preprocessing and/or postprocessing), and/or feature extraction from tissue images such as, for example, images of nuclei and/or cytoplasm. Tissue images processed by various embodiments described herein may be generated by Hematoxylin and Eosin (H&E) staining, immunofluorescence (IF) detection, immunohistochemistry (IHC), similar and/or related staining processes, and/or other processes. Predictive features described herein may be provided for use in, for example, one or more predictive models for treating, diagnosing, and/or predicting the occurrence (e.g., recurrence) of one or more medical conditions such as, for example, cancer or other types of disease.
Type:
Application
Filed:
January 30, 2013
Publication date:
September 5, 2013
Applicant:
Fundação D. Anna Sommer Champalimaud e Dr. Carlos Montez Champalimaud
Inventor:
Fundação D. Anna Sommer Champalimaud e Dr. Carlos Montez Champalimaud
Abstract: In general, one aspect of the subject matter described in this specification can be embodied in methods for assessing risk associated with prostate cancer, the methods including the actions of receiving patient data, comparing, with a processor executing code, the patient data to one or more predictive models, the one or more predictive models comprising at least one of (a) a disease progression (DP) model, the DP model being configured to predicts a likelihood of developing significant disease progression, and (b) a favorable pathology (FP) model, the FP model being configured to predict a likelihood of having organ confined, low grade disease in a prostatectomy, and outputting one or more results of the comparison Other embodiments of the various aspects include corresponding systems, apparatus, and computer program products.
Type:
Application
Filed:
June 4, 2012
Publication date:
March 28, 2013
Applicant:
Fundação D. Anna Sommer Champalimaud e Dr. Carlos Montez Champalimaud
Inventors:
Michael Donovan, Faisal Khan, Jason Alter, Gerardo Fernandez, Ricardo Mesa-Tejada, Douglas Powell, Valentina Bayer Zubek, Stefan Hamann, Carlos Codon-Cardo