Patents by Inventor David A. Verbel
David A. Verbel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10406106Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: GrantFiled: November 21, 2018Date of Patent: September 10, 2019Assignee: ENDO PHARMACEUTICALS INC.Inventors: Anand R. Baichwal, Philip A. Goliber, Anthony E. Carpanzano, Thomas Sciascia, Donald Diehl, Brian Vogler, David Verbel, Stanley Au
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Publication number: 20190117576Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: ApplicationFiled: November 21, 2018Publication date: April 25, 2019Inventors: Anand R. BAICHWAL, Philip A. GOLIBER, Anthony E. CARPANZANO, Thomas SCIASCIA, Donald DIEHL, Brian VOGLER, David VERBEL, Stanley AU
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Patent number: 10172798Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: GrantFiled: July 24, 2017Date of Patent: January 8, 2019Assignee: Endo Pharmaceuticals Inc.Inventors: Anand R. Baichwal, Philip A. Goliber, Anthony E. Carpanzano, Thomas Sciascia, Donald Diehl, Brian Vogler, David Verbel, Stanley Au
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Publication number: 20180042852Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: ApplicationFiled: July 24, 2017Publication date: February 15, 2018Inventors: Anand R. BAICHWAL, Philip A. GOLIBER, Anthony E. CARPANZANO, Thomas SCIASCIA, Donald DIEHL, II, Brian VOGLER, David VERBEL, Stanley AU
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Publication number: 20160263035Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: ApplicationFiled: May 23, 2016Publication date: September 15, 2016Applicant: Endo Pharmaceuticals Inc.Inventors: Anand R. BAICHWAL, Philip A. Goliber, Anthony E. Carpanzano, Thomas Sciascia, Donald Diehl, Brian Vogler, David Verbel, Stanley Au
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Patent number: 9351938Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: GrantFiled: May 29, 2014Date of Patent: May 31, 2016Assignee: ENDO PHARMACEUTICALS INCInventors: Anand R. Baichwal, Philip A. Goliber, Anthony E. Carpanzano, Thomas Sciascia, Donald Diehl, II, Brian Vogler, David Verbel, Stanley Au
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Publication number: 20140271852Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: ApplicationFiled: May 29, 2014Publication date: September 18, 2014Applicant: PENWEST PHARMACEUTICALS CO.Inventors: Anand R. BAICHWAL, Philip A. GOLIBER, Anthony E. CARPANZANO, Thomas SCIASCIA, Donald DIEHL, II, Brian VOGLER, David VERBEL, Stanley AU
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Patent number: 8765175Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: GrantFiled: February 21, 2013Date of Patent: July 1, 2014Assignee: Endo Pharmaceuticals IncInventors: Anand R. Baichwal, Philip A. Goliber, Anthony E. Carpanzano, Thomas Sciascia, Donald Diehl, II, Brian Vogler, David Verbel, Stanley Au
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Patent number: 8394812Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: GrantFiled: May 23, 2008Date of Patent: March 12, 2013Assignee: Penwest Pharmaceuticals Co.Inventors: Anand R. Baichwal, Philip A. Goliber, Anthony E. Carpanzano, Thomas Sciascia, Donald Diehl, II, Brian Vogler, David Verbel, Stanley Au
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Patent number: 7933848Abstract: A method of producing a model for use in predicting time to an event includes obtaining multi-dimensional, non-linear vectors of information indicative of status of multiple test subjects, at least one of the vectors being right-censored, lacking an indication of a time of occurrence of the event with respect to the corresponding test subject, and performing regression using the vectors of information to produce a kernel-based model to provide an output value related to a prediction of time to the event based upon at least some of the information contained in the vectors of information, where for each vector comprising right-censored data, a censored-data penalty function is used to affect the regression, the censored-data penalty function being different than a non-censored-data penalty function used for each vector comprising non-censored data.Type: GrantFiled: January 30, 2009Date of Patent: April 26, 2011Assignee: Aureon Laboratories, Inc.Inventors: Olivier Saidi, David A. Verbel
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Publication number: 20100191685Abstract: Methods and systems are provided for feature selection in machine learning, in which the features selected for inclusion in a prediction rule are selected based on statistical metric(s) of feature contribution and/or model fitness.Type: ApplicationFiled: August 11, 2009Publication date: July 29, 2010Applicant: Aureon Laboratories, Inc.Inventors: Marina Sapir, Faisal M. Khan, David A. Verbel, Olivier Saidi
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Patent number: 7702598Abstract: Embodiments of the present invention are directed to methods and systems for training a neural network having weighted connections for classification of data, as well as embodiments corresponding to the use of such a neural network for the classification of data, including, for example, prediction of an event (e.g., disease). The method may include inputting input training data into the neural network, processing, by the neural network, the input training data to produce an output, determining an error between the output and a desired output corresponding to the input training data, rating the performance neural network using an objective function, wherein the objective function comprises a function C substantially in accordance with an approximation of the concordance index and adapting the weighted connections of the neural network based upon results of the objective function.Type: GrantFiled: February 21, 2008Date of Patent: April 20, 2010Assignee: Aureon Laboratories, Inc.Inventors: Olivier Saidi, David Verbel, Lian Yan
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Publication number: 20100088264Abstract: Methods and systems are provided that use clinical information, molecular information and computer-generated morphometric information in a predictive model for predicting the occurrence (e.g., recurrence) of a medical condition, for example, cancer. In an embodiment, a model that predicts prostate cancer recurrence is provided, where the model is based on features including one or more (e.g., all) of biopsy Gleason score, seminal vesicle invasion, extracapsular extension, preoperative PSA, dominant prostatectomy Gleason grade, the relative area of AR+ epithelial nuclei, a morphometric measurement of epithelial nuclei, and a morphometric measurement of epithelial cytoplasm. In another embodiment, a model that predicts clinical failure post-prostatectomy is provided, wherein the model is based on features including one or more (e.g.Type: ApplicationFiled: April 7, 2008Publication date: April 8, 2010Applicant: Aureon Laboratories Inc.Inventors: Mikhail Teverovskiy, David A. Verbel, Olivier Saidi
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Publication number: 20100005042Abstract: A method of producing a model for use in predicting time to an event includes obtaining multi-dimensional, non-linear vectors of information indicative of status of multiple test subjects, at least one of the vectors being right-censored, lacking an indication of a time of occurrence of the event with respect to the corresponding test subject, and performing regression using the vectors of information to produce a kernel-based model to provide an output value related to a prediction of time to the event based upon at least some of the information contained in the vectors of information, where for each vector comprising right-censored data, a censored-data penalty function is used to affect the regression, the censored-data penalty function being different than a non-censored-data penalty function used for each vector comprising non-censored data.Type: ApplicationFiled: January 30, 2009Publication date: January 7, 2010Applicant: Aureon Laboratories, Inc.Inventors: Oliver Saidi, David A. Verbel
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Patent number: 7599893Abstract: Methods and systems are provided for feature selection in machine learning, in which the features selected for inclusion in a prediction rule are selected based on statistical metric(s) of feature contribution and/or model fitness.Type: GrantFiled: May 22, 2006Date of Patent: October 6, 2009Assignee: Aureon Laboratories, Inc.Inventors: Marina Sapir, Faisal M. Khan, David A. Verbel, Olivier Saidi
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Patent number: 7505948Abstract: A method of producing a model for use in predicting time to an event includes obtaining multi-dimensional, non-linear vectors of information indicative of status of multiple test subjects, at least one of the vectors being right-censored, lacking an indication of a time of occurrence of the event with respect to the corresponding test subject, and performing regression using the vectors of information to produce a kernel-based model to provide an output value related to a prediction of time to the event based upon at least some of the information contained in the vectors of information, where for each vector comprising right-censored data, a censored-data penalty function is used to affect the regression, the censored-data penalty function being different than a non-censored-data penalty function used for each vector comprising non-censored data.Type: GrantFiled: November 17, 2004Date of Patent: March 17, 2009Assignee: Aureon Laboratories, Inc.Inventors: Olivier Saidi, David A. Verbel
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Publication number: 20090030026Abstract: Sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; methods for making the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof; and methods for using the sustained release formulations of nalbuphine or pharmaceutically acceptable salts thereof to treat patients suffering from pain are provided.Type: ApplicationFiled: May 23, 2008Publication date: January 29, 2009Inventors: Anand R. Baichwal, Philip A. Goliber, Anthony E. Carpanzano, Thomas Sciascia, Donald Diehl, II, Brian Vogler, David Verbel, Stanley Au
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Patent number: 7467119Abstract: Methods and systems are provided that use clinical information, molecular information and computer-generated morphometric information in a predictive model for predicting the occurrence (e.g., recurrence) of a medical condition, for example, cancer.Type: GrantFiled: March 14, 2005Date of Patent: December 16, 2008Assignee: Aureon Laboratories, Inc.Inventors: Olivier Saidi, David A. Verbel, Mikhail Teverovskiy
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Publication number: 20080306893Abstract: Embodiments of the present invention are directed to methods and systems for training a neural network having weighted connections for classification of data, as well as embodiments corresponding to the use of such a neural network for the classification of data, including, for example, prediction of an event (e.g., disease). The method may include inputting input training data into the neural network, processing, by the neural network, the input training data to produce an output, determining an error between the output and a desired output corresponding to the input training data, rating the performance neural network using an objective function, wherein the objective function comprises a function C substantially in accordance with an approximation of the concordance index and adapting the weighted connections of the neural network based upon results of the objective function.Type: ApplicationFiled: February 21, 2008Publication date: December 11, 2008Applicant: Aureon Laboratories, Inc.Inventors: Olivier Saidi, David A. Verbel, Lian Yan
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Patent number: 7461048Abstract: Methods and systems are provided that use clinical information, molecular information and computer-generated morphometric information in a predictive model for predicting the occurrence (e.g., recurrence) of a medical condition, for example, cancer. In an embodiment, a model that predicts prostate cancer recurrence is provided, where the model is based on features including seminal vesicle involvement, surgical margin involvement, lymph node status, androgen receptor (AR) staining index of tumor, a morphometric measurement of epithelial nuclei, and at least one morphometric measurement of stroma.Type: GrantFiled: October 13, 2006Date of Patent: December 2, 2008Assignee: Aureon Laboratories, Inc.Inventors: Mikhail Teverovskiy, David A. Verbel, Olivier Saidi