Ying Chun Li

US Patent:

20130042680, Feb 21, 2013

Filed:

Aug 16, 2012

Appl. No.:

13/587689

Inventors:

Chee Wei Wong - Weehauken NJ, US
Ying Li - New York NY, US
Jianjung Zheng - New York NY, US
Daniel Rogers - Baltimore MD, US

International Classification:

G01V 7/02

US Classification:

73382 R

Abstract:

An apparatus for measuring gravitational force is provided having at least one optomechanical oscillator, the at least one optomechanical oscillator having an initial resonance, and a second resonance when displaced by gravitational force; and at least one photonic crystal having at least one cavity coupling optical and mechanical degrees of freedom of the oscillator.

US Patent:

20140046057, Feb 13, 2014

Filed:

Aug 8, 2013

Appl. No.:

13/962745

Inventors:

John M. Traverse - Roselle Park NJ, US
Jean Xu - Warren NJ, US
Ying Li - Springfield NJ, US

Assignee:

Celgene Corporation - Summit NJ

International Classification:

C07D 401/04

US Classification:

544130

Abstract:

Salts and solid forms of 3-(4-((4-(morpholinomethyl)benzyl)oxy)-1-oxoisoindolin-2-yl)piperidine-2,6-dione, or a stereoisomer thereof, are disclosed. Compositions comprising and methos of using the salts and solid forms are also disclosed.

US Patent:

20210110248, Apr 15, 2021

Filed:

Oct 11, 2019

Appl. No.:

16/599886

Inventors:

- Armonk NY, US
Anshul Sheopuri - Oradell NJ, US
Yvonne Cai Feng Low - Singapore, SG
Thomas A. Stachura - Wheaton IL, US
Nickle Jaclyn LaMoreaux - Brewster NY, US
Joanna M. Daly - Dobbs Ferry NY, US
Ying Li - Mohegan Lake NY, US

International Classification:

G06N 3/08
G06N 3/04
G06Q 10/06

Abstract:

A data set including at least skills data, recruiting data, compensation data, organization structure data can be received. A first training set can be created by cleaning and integrating the data set. A first machine learning model can be trained to predict skill scarcity associated with a skill, geography and organization using the first training set. A second training set can be created by selecting a subset of the first training set based on a local subject matter expert's input with respect to the trained first machine learning model's performance. The first machine learning model can be refined by retraining the first machine learning model using the second training set, the machine learning model refined to predict the skill scarcity associated with the skill, geography and organization within a locality associated with the local subject matter expert.

US Patent:

20210040064, Feb 11, 2021

Filed:

Mar 18, 2020

Appl. No.:

16/823120

Inventors:

- Summit NJ, US
Antonio C. Ferretti - Summit NJ, US
Ying Li - Millburn NJ, US
Weihong Zhang - Highland Park NJ, US

International Classification:

C07D 401/04
A61K 31/454
A61K 45/06
A61K 9/00
A61K 39/395
A61K 9/19
A61K 9/08
C07K 16/00
A61K 31/513
A61K 39/00

Abstract:

Solid forms comprising 2-(4-chlorophenyl)-N-((2-(2,6-dioxopiperidin-3-yl)-1-oxoisoindolin-5-yl)methyl)-2,2-difluoroacetamide, compositions comprising the solid forms, methods of making the solid forms and methods of their uses are disclosed.

US Patent:

20200051670, Feb 13, 2020

Filed:

Oct 16, 2019

Appl. No.:

16/654539

Inventors:

- Armonk NY, US
Ying LI - FORT LEE NJ, US
Zhaonan SUN - Elmsford NY, US
Ping ZHANG - White Plains NY, US

International Classification:

G16C 20/30
G06N 5/02
G06N 5/00

Abstract:

Predicting beneficial drug combinations mitigating adverse drug reactions identifies drug combinations and associated target adverse drug reaction from a spontaneous reporting system containing case reports of drugs and associated adverse drug reactions. Each drug combination comprises a first drug and a second drug, and a propensity score is computed for each drug in each group. This propensity score expresses a probability of being exposed to a given drug based on other co-prescribed drugs and reported indications, which reflect patient characteristics. Associations are computed for each drug as well as drug interaction. Among the associations, the sum of the associations of the second drug and the interaction effect represents the predicted beneficial score expressing whether the second drug alters the chance of developing the target adverse drug reaction for patients on the first drug. The interaction effect is referred to as predicted interaction score, and represents antagonistic or synergistic drug interactions.

US Patent:

20180200255, Jul 19, 2018

Filed:

Dec 28, 2017

Appl. No.:

15/856845

Inventors:

- Summit NJ, US
John F. Traverse - Roselle Park NJ, US
Jean Xu - Warren NJ, US
Ying Li - Millburn NJ, US

International Classification:

A61K 31/5377
C07D 401/04
A61K 31/4035
A61K 31/4412

Abstract:

Salts and solid forms of 3-(4-((4-(morpholinomethyl)benzyl)oxy)-1-oxoisoindolin-2-yl)piperidine-2,6-dione, or a stereoisomer thereof, are disclosed. Compositions comprising and methods of using the salts and solid forms are also disclosed.

US Patent:

20180068089, Mar 8, 2018

Filed:

Sep 6, 2016

Appl. No.:

15/257535

Inventors:

- Armonk NY, US
Ying LI - Fort Lee NJ, US
Zhaonan SUN - Elmsford NY, US
Ping ZHANG - White Plains NY, US

International Classification:

G06F 19/00
G06N 7/00

Abstract:

Predicting beneficial drug combinations mitigating adverse drug reactions identifies drug combinations and associated target adverse drug reaction from a spontaneous reporting system containing case reports of drugs and associated adverse drug reactions. Each drug combination comprises a first drug and a second drug, and a propensity score is computed for each drug in each group. This propensity score expresses a probability of being exposed to a given drug based on other co-prescribed drugs and reported indications, which reflect patient characteristics. Associations are computed for each drug as well as drug interaction. Among the associations, the sum of the associations of the second drug and the interaction effect represents the predicted beneficial score expressing whether the second drug alters the chance of developing the target adverse drug reaction for patients on the first drug. The interaction effect is referred to as predicted interaction score, and represents antagonistic or synergistic drug interactions.

US Patent:

20170258803, Sep 14, 2017

Filed:

Feb 28, 2017

Appl. No.:

15/445070

Inventors:

- Summit NJ, US
John F. Traverse - Roselle Park NJ, US
Jean Xu - Warren NJ, US
Ying Li - Millburn NJ, US

International Classification:

A61K 31/5377
C07D 401/04

Abstract:

Salts and solid forms of 3-(4-((4-(morpholinomethyl)benzyl)oxy)-1-oxoisoindolin-2-yl)piperidine-2,6-dione, or a stereoisomer thereof, are disclosed. Compositions comprising and methods of using the salts and solid forms are also disclosed.