Stephen Shekhang Chan, 473724 Bellaire Blvd, Houston, TX 77025

6933108, Aug 23, 2005

Dec 8, 2000

09/733395

Mark A. Goldsmith - San Francisco CA, US
Stephen Chan - San Francisco CA, US

The Regents of the University of California - Oakland CA

C12Q001/70
C12Q001/68
C12P021/00
C12P019/34

435 5, 435 6, 435 691, 4353201, 435 721, 435 912, 4352351, 536 231, 536 234, 530300, 530350

Methods and compositions are provided for at least slowing the progression of a filovirus mediated disease condition in a host. In the subject methods, an effective amount of an agent that at least reduces the amount of folate receptor mediated filovirus cell entry is administered to the host. The subject methods find use in both the prevention and treatment of filovirus associated disease conditions, including Marburg and Ebola-Zaire virus mediated disease conditions.

7803555, Sep 28, 2010

Apr 11, 2005

11/104211

Mark A. Goldsmith - San Francisco CA, US
Stephen Chan - San Francisco CA, US

The J. David Gladstone Institutes - San Francisco CA

G01N 33/00
G01N 33/50
G01N 33/53

435 71, 435 72, 435 721

Methods and compositions are provided for at least slowing the progression of a filovirus mediated disease condition in a host. In the subject methods, an effective amount of an agent that at least reduces the amount of folate receptor mediated filovirus cell entry is administered to the host. The subject methods find use in both the prevention and treatment of filovirus associated disease conditions, including Marburg and Ebola-Zaire virus mediated disease conditions.

5435930, Jul 25, 1995

Mar 28, 1994

8/218732

Stephen K. Chan - Pinole CA
Gale L. Hubred - Brea CA
Harold E. Todd - Pinole CA

General Atomics International Services Corporation - San Diego CA

C09K 318

252 70

Effective and environmentally benign liquid deicing and anti-icing compositions are provided by aqueous solutions of (a) alkali metal acetates, preferably KAc, (b) phosphate ion, e. g. , H. sub. 3 PO. sub. 4 or K. sub. 3 PO. sub. 4, (c) soluble silicate,, e. g. , K. sub. 2 SiO. sub. 3 or Na. sub. 2 SiO. sub. 3, (d) aromatic triazole, preferably tolyltriazole, (e) a dye which provides a visible hue, and (f) a compatible surfactant which lowers the surface tension to below about 50 dynes per sq. cm. , prevents aggregation of components (a) to (f), and assures excellent dispersion across aircraft surfaces, preferablty octylphenoxypolyethoxy ethylphosphate. These compositions are environmentally safe and are useful in methods for deicing or preventative anti-icing of aircraft that meet AEA, ISO and SAE aviation standards. These compositions remain effective at low temperatures and are non-corrosive to metals used in aircraft construction.

2021035, Nov 18, 2021

Mar 26, 2021

17/214440

- San Francisco CA, US
Stephen Chan - San Francisco CA, US
Jiahong Weng - San Francisco CA, US
Hamid Hekmatian - San Francisco CA, US
Wenxiang Deng - San Francisco CA, US
Ashwini Jha - San Francisco CA, US
Ali Sadat - San Francisco CA, US

G16H 40/20
G16H 50/20
G16H 20/00
G16H 30/40
G16H 30/20

An interface enables a user to select a block type, place an instance of that block type in a schematic and connect the instance to other instances. Each block type defines processing of dental data, such as dental images according to any of a plurality of modalities and defines logic, such as if statements, to determine an output (positive/negative) for instances of that block type. Logic may include Boolean expressions relating to results of the inf statements. The logic may operate with respect to data derived from patient data using a machine learning model trained to measure dental anatomy, measure dental pathologies, or diagnose dental conditions. A workflow may be created with instances to determine the appropriateness of a dental treatment.

2021011, Apr 22, 2021

Sep 25, 2020

17/033277

- San Francisco CA, US
Hamid Hekmatian - San Francisco CA, US
Stephen Chan - San Francisco CA, US
Ali Sadat - San Francisco CA, US

G06T 7/00
G06T 7/73
G06T 3/40
G06N 20/10
G06N 3/08
G06N 3/04

A GAN is trained to process input images and produce a synthetic dental image. The GAN further takes masks as inputs with each image, the masks labeling pixels of the image corresponding to dental features (anatomy and/or treatments). The GAN includes an encoder-decoder with normalization between stages of the decoder according to the masks. A synthetic image and an unpaired dental image is evaluated by a first discriminator of the GAN to obtain a realism estimate. The synthetic image and an unpaired dental image may be processed using a pretrained dental encoder to obtain a perceptual loss. The GAN is trained with the realism estimate and perceptual loss. Utilization may include modifying a mask for an input image to include or exclude a shape of a feature such that the synthetic image includes or excludes a dental feature.

2020036, Nov 19, 2020

May 15, 2020

16/875922

- San Francisco CA, US
Ali Sadat - San Francisco CA, US
Stephen Chan - San Francisco CA, US
Yash Patel - San Francisco CA, US

G06T 7/00
G06T 7/70
G16H 30/40
G06K 9/62
A61C 19/04

Dental images are processed according to a first machine learning model to determine teeth labels. The teeth labels and image are concatenated and processed using a second machine learning model to label anatomy including CEJ, JE, GM, and Bone. The anatomy labels, teeth labels, and image are concatenated and processed using a third machine learning model to obtain feature measurements, such as pocket depth and clinical attachment level. The feature measurements, anatomy labels, teeth labels, and image may be concatenated and input to a fourth machine learning model to obtain a diagnosis for a periodontal condition. Feature measurements and/or the diagnosis may be processed according to a diagnosis hierarchy to determine whether a treatment is appropriate. Machine learning models may further be used to reorient, decontaminate, and restore the image prior to processing. Machine learning models may be embodied as CNN, GAN, and cyclic GAN.