Ying Lin Li

20130042680, Feb 21, 2013

Aug 16, 2012

13/587689

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

G01V 7/02

73382 R

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.

20140046057, Feb 13, 2014

Aug 8, 2013

13/962745

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

Celgene Corporation - Summit NJ

C07D 401/04

544130

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.

20210110248, Apr 15, 2021

Oct 11, 2019

16/599886

- 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

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

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.

20210040064, Feb 11, 2021

Mar 18, 2020

16/823120

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

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

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.

20200051670, Feb 13, 2020

Oct 16, 2019

16/654539

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

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

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.

20180362498, Dec 20, 2018

Jun 14, 2018

16/009080

- Pembroke, BM
Lianfeng Huang - Basking Ridge NJ, US
Ying Li - Millburn NJ, US
John Traverse - Lebanon NJ, US
Jean Xu - Warren NJ, US
Kelvin Hin-Yeong Yong - Westfield NJ, US
Daozhong Zou - Raritan NJ, US

C07D 401/12
A61K 31/506
C07D 403/12

The present invention provides compounds, compositions thereof, and methods of using the same for the inhibition of one or both of ERK1 and ERK2.

20180200255, Jul 19, 2018

Dec 28, 2017

15/856845

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

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

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.

20180068089, Mar 8, 2018

Sep 6, 2016

15/257535

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

G06F 19/00
G06N 7/00

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.