Fang Ting Lu

US Patent:

20210133242, May 6, 2021

Filed:

Nov 1, 2019

Appl. No.:

16/671260

Inventors:

- Armonk NY, US
Eliza Reed Farley - Brooklyn NY, US
Alexander Kenneth Rice - Cambridge MA, US
Maureen Kraft - Hudson MA, US
Fang Lu - Billerica MA, US

International Classification:

G06F 16/906
G06F 16/9035
H04N 21/45
H04N 21/454

Abstract:

A method, a computer program product, and a computer system for filtering content based on user state is disclosed. Exemplary embodiments include associating a user with one or more cohorts and extracting one or more features from a content retrieved by the user. Moreover, exemplary embodiments may further include determining whether at least one of the one or more features conflict with at least one of the one or more cohorts.

US Patent:

20200357490, Nov 12, 2020

Filed:

May 7, 2019

Appl. No.:

16/405025

Inventors:

- Armonk NY, US
Ping Zhang - White Plains NY, US
Yoonyoung Park - Cambridge MA, US
Kenney Ng - Arlington MA, US
Fang Lu - Billerica MA, US
Michael J. LaScaleia - Sudbury MA, US
Francis Campion - Westwood MA, US

International Classification:

G16H 10/20
G16H 10/60
G06F 17/28

Abstract:

A data analysis system is configured for alerting to the results of a virtual clinical trial. The data analysis system has an extraction system configured to extract a correlation between an ingredient and an effect from a clinical trial document using natural language processing, and extract medical history information for a population exposed to the ingredient and a population unexposed to the ingredient from stored electronic medical records. The data analysis system also has a virtual trial system configured to perform statistical analysis on the medical history information to assess the level of association between the ingredient and the effect, a decision system configured to determine an accuracy score for the correlation based on the statistical analysis, and an alerting system configured to provide the accuracy score to a user interface of an end-user device.

US Patent:

20200042086, Feb 6, 2020

Filed:

Aug 1, 2018

Appl. No.:

16/051552

Inventors:

- ARMONK NY, US
Mikaela C. Falk - New York NY, US
Tushar Kumar Jayantilal - Coppell TX, US
Fang Lu - Billerica MA, US
Ishwarya Rajendrababu - Hoboken NJ, US

International Classification:

G06F 3/01
H04L 12/24
H04L 12/58

Abstract:

Embodiments of the present invention disclose a method, computer program product, and system for reducing notifications on a user device to mitigate a user's injury associated with repetitive stress of using the user device. One or more notifications associated with the user device are received. A notification profile associated with the user is generated based on the received one or more notifications. In response to a query, position data and vital sign data associated with the user is received. The received position data and vital sign data associated with the user is analyzed and a health score associated with the user is calculated based on analyzed position data and vital sign data. In response to determining the health score deviates from a threshold range, the generated notification profile associated with the user is modified. One or more notifications alerts are communicated to the user based on the modified notification profile.

US Patent:

20200004885, Jan 2, 2020

Filed:

Jun 28, 2018

Appl. No.:

16/021541

Inventors:

- Armonk NY, US
Alexandra URMAN - New York NY, US
Fang LU - Billerica MA, US

International Classification:

G06F 17/30

Abstract:

In providing visual cues in a document, a server captures search term(s) input by a user and detects a user selection of a document returned based on the search term(s). The server determines a dataset describing the user, where the dataset includes the search term(s), the document, and a set of demographic data of the user. The server maps the dataset to a user group, where the user group is associated with an expertise level for a domain associated with the document. The server assigns the expertise level associated with the user group to the user and maps the expertise level of a risk model for the domain. The risk model is applied to the document to identify the content segments that may pose a risk of harm to a reader with the user's expertise level. The document with the visual cues can then be displayed to the user.