Patents by Inventor Christopher Szeto

Christopher Szeto 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).

  • Publication number: 20190190875
    Abstract: Described herein is a technique to facilitate the sharing of a content item presented in a content feed of a social networking service. Upon detecting that a member has selected an option to share a content item, a content sharing interface is presented. The content sharing interface includes options share the content item publically via a content feed, and privately via a messaging service. The content sharing interface provides a ranked list of recommended recipients, where the recommended recipients in the list are selected and ordered based on several factors, including factors relating to the relationship between the sharing member and the recommended recipients, as well as factors relating to the subject matter of the content item and the likelihood that a recommended recipient would be interested in the content item.
    Type: Application
    Filed: December 19, 2017
    Publication date: June 20, 2019
    Inventors: Arpit Dhariwal, Christopher Szeto, Qianru Zhang, Jesse Jyh-Cherng Hsia, Birjodh Tiwana, Haiyang Liu, Kurt Mcculloch
  • Patent number: 10164919
    Abstract: A method and system for sharing content in an instant messaging application are disclosed. According to one embodiment a computer-implemented method comprises logging content accessed by a first client, and a list of accessible content is updated and provided to the first client. A request is received from the first client to share first content of the list of accessible content with a second client, and a message is delivered to the second client, the message containing a link to the first content.
    Type: Grant
    Filed: October 25, 2016
    Date of Patent: December 25, 2018
    Assignee: Google LLC
    Inventor: Christopher Szeto
  • Publication number: 20180190381
    Abstract: Contemplated systems and methods use a priori known cell line genomics and drug-response data to build a library of response predictors across multiple and distinct cell types and drugs. Statistical analysis of selected response predictors using actual patient data is then employed to identify a response predictor that has significant gain in prediction power, and the drug associated with the identified response predictor is then selected for treatment where the response predictor indicated sensitivity to the drug.
    Type: Application
    Filed: June 15, 2016
    Publication date: July 5, 2018
    Inventor: Christopher Szeto
  • Publication number: 20180144261
    Abstract: Techniques are provided for predicting DNA accessibility. DNase-seq data files and RNA-seq data files for a plurality of cell types are paired by assigning DNase-seq data files to RNA-seq data files that are at least within a same biotype. A neural network is configured to be trained using batches of the paired data files, where configuring the neural network comprises configuring convolutional layers to process a first input comprising DNA sequence data from a paired data file to generate a convolved output, and fully connected layers following the convolutional layers to concatenate the convolved output with a second input comprising gene expression levels derived from RNA-seq data from the paired data file and process the concatenation to generate a DNA accessibility prediction output. The trained neural network is used to predict DNA accessibility in a genomic sample input comprising RNA-seq data and whole genome sequencing for a new cell type.
    Type: Application
    Filed: November 20, 2017
    Publication date: May 24, 2018
    Applicants: NantOmics, LLC., Nant Holdings IP, LLC
    Inventors: Kamil Wnuk, Jeremi Sudol, Shahrooz Rabizadeh, Patrick Soon-Shiong, Christopher Szeto, Charles Vaske
  • Publication number: 20180039731
    Abstract: A machine learning engine is presented. The disclosed recommendation engine generates an ensemble of trained machine learning models that are trained on known genomic data sets and corresponding known clinical outcome data sets. Each model can be characterized according to its performance metric or other attributes describing the nature of the trained model. The attributes of the models can also relate to one or more potential research projects, possibly including drug response studies, drug or compound research, types of data to collect, or other topics. The potential research projects can be ranked according to the performance or characteristic metrics of models that share common attributes with the potential research projects. Projects having high rankings according to the model metrics are considered as targeting that would likely be most insightful.
    Type: Application
    Filed: March 3, 2016
    Publication date: February 8, 2018
    Inventor: Christopher Szeto
  • Publication number: 20180018590
    Abstract: A distributed, online machine learning system is presented. Contemplated systems include many private data servers, each having local private data. Researchers can request that relevant private data servers train implementations of machine learning algorithms on their local private data without requiring de-identification of the private data or without exposing the private data to unauthorized computing systems. The private data servers also generate synthetic or proxy data according to the data distributions of the actual data. The servers then use the proxy data to train proxy models. When the proxy models are sufficiently similar to the trained actual models, the proxy data, proxy model parameters, or other learned knowledge can be transmitted to one or more non-private computing devices. The learned knowledge from many private data servers can then be aggregated into one or more trained global models without exposing private data.
    Type: Application
    Filed: July 17, 2017
    Publication date: January 18, 2018
    Inventors: Christopher Szeto, Stephen Charles Benz, Nicholas J. Witchey
  • Publication number: 20180004905
    Abstract: Contemplated systems and methods allow for prediction of chemotherapy outcome for patients diagnosed with high-grade bladder cancer. In particularly preferred aspects, the prediction is performed using a model based on machine learning wherein the model has a minimum predetermined accuracy gain and wherein a thusly identified model provides the identity and weight factors for omics data used in the outcome prediction.
    Type: Application
    Filed: July 28, 2016
    Publication date: January 4, 2018
    Applicant: NANTOMICS, LLC
    Inventor: Christopher Szeto
  • Publication number: 20170104699
    Abstract: A method and system for sharing content in an instant messaging application are disclosed. According to one embodiment a computer-implemented method comprises logging content accessed by a first client, and a list of accessible content is updated and provided to the first client. A request is received from the first client to share first content of the list of accessible content with a second client, and a message is delivered to the second client, the message containing a link to the first content.
    Type: Application
    Filed: October 25, 2016
    Publication date: April 13, 2017
    Inventor: Christopher Szeto
  • Patent number: 9509644
    Abstract: A method and system for sharing content in an instant messaging application are disclosed. According to one embodiment a computer-implemented method comprises logging content accessed by a first client, and a list of accessible content is updated and provided to the first client. A request is received from the first client to share first content of the list of accessible content with a second client, and a message is delivered to the second client, the message containing a link to the first content.
    Type: Grant
    Filed: September 30, 2015
    Date of Patent: November 29, 2016
    Assignee: Google Inc.
    Inventor: Christopher Szeto
  • Publication number: 20160103949
    Abstract: Systems and methods are presented in which omics data from multiple cell or tissue samples are used to identify pathway elements that are associated with a treatment parameter of the cell or tissue (e.g., resistance towards a specific drug). So identified pathway elements are then modulated in silico in a statistical factor graph model to provide a modified data set that is re-evaluated with respect to the treatment parameter. Such systems and models are particularly useful for recommendation of multi-drug treatments for treatment-nave patients.
    Type: Application
    Filed: May 28, 2014
    Publication date: April 14, 2016
    Inventors: Stephen Charles Benz, Christopher Szeto
  • Publication number: 20160080292
    Abstract: A method and system for sharing content in an instant messaging application are disclosed. According to one embodiment a computer-implemented method comprises logging content accessed by a first client, and a list of accessible content is updated and provided to the first client. A request is received from the first client to share first content of the list of accessible content with a second client, and a message is delivered to the second client, the message containing a link to the first content.
    Type: Application
    Filed: September 30, 2015
    Publication date: March 17, 2016
    Inventor: Christopher Szeto
  • Patent number: 9165284
    Abstract: A method and system for sharing content in an instant messaging application are disclosed. According to one embodiment a computer-implemented method comprises logging content accessed by a first client, and a list of accessible content is updated and provided to the first client. A request is received from the first client to share first content of the list of accessible content with a second client, and a message is delivered to the second client, the message containing a link to the first content.
    Type: Grant
    Filed: June 8, 2009
    Date of Patent: October 20, 2015
    Assignee: Google Inc.
    Inventor: Christopher Szeto
  • Publication number: 20150006445
    Abstract: The present inventive subject matter provides apparatus, systems, and methods in which a diagnostic test is identified, where the diagnostic test is for determining whether a particular treatment is effective for a particular patient based on one or more characteristics of a patient's cells. When a treatment is developed with the potential to treat one or more diseases, the drug can have different effects on different cell lines related to the diseases. A machine learning system is programmed to infer a measurable cell characteristic, out of many different measurable cell characteristics, that has a desirable correlation with the sensitivity data of different cell lines to a treatment. The machine learning system is programmed to then determine, based on the correlation, a threshold level of the cell characteristic the patient should exhibit in order to recommend administering the treatment.
    Type: Application
    Filed: June 30, 2014
    Publication date: January 1, 2015
    Inventors: Stephen Charles Benz, Shahrooz Rabizadeh, Christopher Szeto, Paul Weingarten, Chunlin Tao
  • Patent number: 8037047
    Abstract: Techniques for performing inline searches in an instant messaging environment are provided. A user can implement a web search in an instant messaging window by entering a search query. A search query can be preceded by a predefined search trigger to identify the associated text as the search query. The search query is sent to an Internet search server, which processes the query and gathers search results. One or more of the search results is displayed inline in the instant messaging window to the sender and the recipient. The search result can be in XML or HTML format and can include graphics and hyperlinks.
    Type: Grant
    Filed: February 29, 2008
    Date of Patent: October 11, 2011
    Assignee: Yahoo! Inc.
    Inventors: Christopher Szeto, Raymond Chung-Man Tam
  • Patent number: 7743099
    Abstract: Visibility profiles associated with a substantially real time messaging environment are disclosed. Additionally, techniques for managing visibility profiles are disclosed, which include automatically associating a first profile with a first situation, automatically associating a second profile with a second situation, and where the first and second profiles are associated with visibility. Visibility profiles may be used to manage the appearance of a user to other users/friends for communication using applications such as instant messaging, electronic mail, web-based mail programs, or other types of data communication exchange applications.
    Type: Grant
    Filed: August 20, 2008
    Date of Patent: June 22, 2010
    Assignee: Yahoo! Inc.
    Inventor: Christopher Szeto
  • Publication number: 20090307325
    Abstract: A method and system for sharing content in an instant messaging application are disclosed. According to one embodiment a computer-implemented method comprises logging content accessed by a first client, and a list of accessible content is updated and provided to the first client. A request is received from the first client to share first content of the list of accessible content with a second client, and a message is delivered to the second client, the message containing a link to the first content.
    Type: Application
    Filed: June 8, 2009
    Publication date: December 10, 2009
    Inventor: CHRISTOPHER SZETO
  • Publication number: 20080320096
    Abstract: Visibility profiles associated with a substantially real time messaging environment are disclosed. Additionally, techniques for managing visibility profiles are disclosed, which include automatically associating a first profile with a first situation, automatically associating a second profile with a second situation, and where the first and second profiles are associated with visibility. Visibility profiles may be used to manage the appearance of a user to other users/friends for communication using applications such as instant messaging, electronic mail, web-based mail programs, or other types of data communication exchange applications.
    Type: Application
    Filed: August 20, 2008
    Publication date: December 25, 2008
    Inventor: Christopher Szeto
  • Publication number: 20080288467
    Abstract: Techniques for integrating instant messaging with Internet search features are provided. An instant messaging (IM) application allows users to launch a search of the Internet or the World Wide Web for information about another IM user or another topic. If an IM user wishes to location information relating to a friend, a search is performed through a database of registered IM members to locate a user profile for the friend. If the friend's profile is found, the profile is displayed to the IM user. An IM application can link to an Internet search engine to search the Internet for web sites relating to the topic or person. Search results from an Internet search can be sorted based on information about a friend that is stored in the friend's user profile.
    Type: Application
    Filed: July 2, 2008
    Publication date: November 20, 2008
    Applicant: YAHOO! INC.
    Inventors: Christopher SZETO, Raymond Chung-Man Tam
  • Patent number: 7451190
    Abstract: Visibility profiles associated with a substantially real time messaging environment are disclosed. Additionally, techniques for managing visibility profiles are disclosed, which include associating a first visibility profile with a first situation, and associating a second visibility profile with a second situation, A visibility profile indicates a set of friends, of a particular user, that are allowed, or disallowed, to view the particular user as available when the particular user is in the associated situation. A situation refers to one or more of a particular time period that a user is logged in, a particular location of the user, a particular device that the user is currently using, or a particular log-in that the user is currently using. Visibility profiles are used to manage the appearance of a user to other users/friends for communication using applications such as instant messaging, electronic mail, web-based mail programs, or other types of data communication exchange applications.
    Type: Grant
    Filed: January 9, 2004
    Date of Patent: November 11, 2008
    Assignee: Yahoo! Inc.
    Inventor: Christopher Szeto
  • Patent number: 7409384
    Abstract: Techniques for integrating instant messaging with Internet search features are provided. An instant messaging (IM) application allows users to launch a search of the Internet or the World Wide Web for information about another IM user or another topic. If an IM user wishes to locate information relating to a friend, a search is performed through a database of registered IM members to locate a user profile for the friend. If the friend's profile is found, the profile is displayed to the IM user. An IM application can also launch a Internet search for information relating to a topic or a friend. The IM application can link to an Internet search engine to search the Internet for web sites relating to the topic or person. Search results from an Internet search can be sorted based on information about a friend that is stored in the friend's user profile.
    Type: Grant
    Filed: April 19, 2004
    Date of Patent: August 5, 2008
    Assignee: Yahoo! Inc.
    Inventors: Christopher Szeto, Raymond Chung-Man Tam