Dong Hua Yang

US Patent:

8623385, Jan 7, 2014

Filed:

Aug 11, 2010

Appl. No.:

13/388149

Inventors:

Jeewan Thakur - Basel, CH
Dong Yang - Parsippany NJ, US
Lili Feng - Pine Brook NJ, US

Assignee:

Novartis AG - Basel

International Classification:

A61K 9/00
A61K 38/00

US Classification:

424400, 530332

Abstract:

The present disclosure relates to crystalline form of (S)—N—((S)-1-cyclohexyl-2-{(S)-2-[4-(4-fluoro-benzoyl)-thiazol-2-yl]-pyrrolidin-1-yl}-2-oxo-ethyl)-2-methylamino-propionamide, salts and hydrates thereof. This disclosure also relates to solid oral formulation of (S)—N—((S)-1-cyclohexyl-2-{(S)-2-[4-(4-fluoro-benzoyl)-thiazol-2-yl]-pyrrolidin-1-yl}-2-oxo-ethyl)-2-methylamino-propionamide, pharmaceutically acceptable salts, solvates (including hydrates) thereof, as well as methods of treatment using the same.

US Patent:

20200219259, Jul 9, 2020

Filed:

Mar 18, 2020

Appl. No.:

16/822101

Inventors:

- Erlangen, DE
Mingqing Chen - Plainsboro NJ, US
Daguang Xu - Princeton NJ, US
Zhoubing Xu - Plainsboro NJ, US
Dong Yang - Somerset NJ, US

International Classification:

G06T 7/00
G06K 9/66
G06T 7/11
G06N 7/00
G06N 3/04
G06K 9/62
G06N 3/08

Abstract:

Methods and apparatus for automated medical image analysis using deep learning networks are disclosed. In a method of automatically performing a medical image analysis task on a medical image of a patient, a medical image of a patient is received. The medical image is input to a trained deep neural network. An output model that provides a result of a target medical image analysis task on the input medical image is automatically estimated using the trained deep neural network. The trained deep neural network is trained in one of a discriminative adversarial network or a deep image-to-image dual inverse network.

US Patent:

20180370960, Dec 27, 2018

Filed:

Aug 31, 2018

Appl. No.:

16/120073

Inventors:

- Basel, CH
Dong YANG - Parsippany NJ, US
Lili FENG - Pine Brook NJ, US

International Classification:

C07D 417/04
A61K 31/427
A61K 9/20

Abstract:

The present disclosure relates to crystalline form of (S)—N—((S)-1-cyclohexyl-2-{(S)-2-[4-(4-fluoro-benzoyl)-thiazol-2-yl]-pyrrolidin-1-yl}-2-oxo-ethyl)-2-methylamino-propionamide, salts and hydrates thereof. This disclosure also relates to solid oral formulation of (S)—N—((S)-1-cyclohexyl-2-{(S)-2-[4-(4-fluoro-benzoyl)-thiazol-2-yl]-pyrrolidin-1-yl}-2-oxo-ethyl)-2-methylamino-propionamide, pharmaceutically acceptable salts, solvates (including hydrates) thereof, as well as methods of treatment using the same.

US Patent:

20180225822, Aug 9, 2018

Filed:

Jan 9, 2018

Appl. No.:

15/865581

Inventors:

- Erlangen, DE
Mingqing Chen - Plainsboro NJ, US
Daguang Xu - Princeton NJ, US
Zhoubing Xu - Plainsboro NJ, US
Shun Miao - Princeton NJ, US
Dong Yang - Somerset NJ, US
He Zhang - Edison NJ, US

International Classification:

G06T 7/00
G06T 7/10

Abstract:

Systems and methods are provided for performing medical imaging analysis. Input medical imaging data is received for performing a particular one of a plurality of medical imaging analyses. An output that provides a result of the particular medical imaging analysis on the input medical imaging data is generated using a neural network trained to perform the plurality of medical imaging analyses. The neural network is trained by learning one or more weights associated with the particular medical imaging analysis using one or more weights associated with a different one of the plurality of medical imaging analyses. The generated output is outputted for performing the particular medical imaging analysis.

US Patent:

20180225823, Aug 9, 2018

Filed:

Jan 11, 2018

Appl. No.:

15/868062

Inventors:

- Erlangen, DE
Mingqing Chen - Plainsboro NJ, US
Daguang Xu - Princeton NJ, US
Zhoubing Xu - Plainsboro NJ, US
Dong Yang - Somerset NJ, US

International Classification:

G06T 7/00
G06K 9/66
G06T 7/11

Abstract:

Methods and apparatus for automated medical image analysis using deep learning networks are disclosed. In a method of automatically performing a medical image analysis task on a medical image of a patient, a medical image of a patient is received. The medical image is input to a trained deep neural network. An output model that provides a result of a target medical image analysis task on the input medical image is automatically estimated using the trained deep neural network. The trained deep neural network is trained in one of a discriminative adversarial network or a deep image-to-image dual inverse network.

US Patent:

20170081319, Mar 23, 2017

Filed:

Nov 30, 2016

Appl. No.:

15/364841

Inventors:

- Basel, CH
Dong Yang - Parsippany NJ, US
Lili Feng - Pine Brook NJ, US

International Classification:

C07D 417/04

Abstract:

The present disclosure relates to crystalline form of (S)—N—((S)-1-cyclohexyl-2-{(S)-2-[4-(4-fluoro-benzoyl)-thiazol-2-yl]-pyrrolidin-1-yl}-2-oxo-ethyl)-2-methylamino-propionamide, salts and hydrates thereof. This disclosure also relates to solid oral formulation of (S)—N—((S)-1-cyclohexyl-2-{(S)-2-[4-(4-fluoro-benzoyl)-thiazol-2-yl]-pyrrolidin-1-yl}-2-oxo-ethyl)-2-methylamino-propionamide, pharmaceutically acceptable salts, solvates (including hydrates) thereof, as well as methods of treatment using the same.

US Patent:

20160328841, Nov 10, 2016

Filed:

May 8, 2015

Appl. No.:

14/707418

Inventors:

- Munich, DE
Dong Yang - Edison NJ, US
David Liu - Franklin Park NJ, US
Shaohua Kevin Zhou - Plainsboro NJ, US

International Classification:

G06T 7/00
G06K 9/46
G06K 9/62

Abstract:

Systems and methods for training a region clustering forest include receiving a set of medical training images for a population of patients. A set of image patches is extracted from each image in the set of medical training images. A plurality of region clustering trees are generated each minimizing a loss function based on respective randomly selected subsets of the set of image patches to train the region clustering forest. Each of the plurality of region clustering trees cluster image patches at a plurality of leaf nodes and the loss function measures a compactness of the cluster of image patches at each leaf node in each of the plurality of region clustering trees.

US Patent:

20140093570, Apr 3, 2014

Filed:

Dec 3, 2013

Appl. No.:

14/095313

Inventors:

Jeewan Thakur - Basel, CH
Dong Yang - Parsippany NJ, US
Lili Feng - Pine Brook NJ, US

Assignee:

Novartis AG - Basel

International Classification:

C07D 417/04

US Classification:

424489, 514365

Abstract:

The present disclosure relates to crystalline form of (S)—N—((S)-1-cyclohexyl-2-{(S)-2-[4-(4-fluorobenzoyl)-thiazol-2-yl]-pyrrolidin-1-yl}-2-oxo-ethyl)-2-methylamino-propionamide, salts and hydrates thereof. This disclosure also relates to solid oral formulation of (S)—N—((S)-1-cyclohexyl-2-{(S)-2-[4-(4-fluoro-benzoyl)-thiazol-2-yl]-pyrrolidin-1-yl}-2-oxo-ethyl)-2-methylamino-propionamide, pharmaceutically acceptable salts, solvates (including hydrates) thereof, as well as methods of treatment using the same.