Search

Nan Xiao

from San Mateo, CA
Age ~45
Get Report
Also known as:
Xiao Nan
Phone and address:
320 Peninsula Ave APT 419, San Mateo, CA 94401
Related to:
Tiffany Limin Chen, 57Liwan Ho, 69Zhenguang XiaoJian Li, 49Li Y Wanglee, 68
Connected to:
Alex M Xiao, 29Anne Xiao, 28Annie Xiao, 32Baohua Xiao, 54Carol W Xiao, 54Ching Xiao, 75Chunfang Xiao, 46Cong Y Xiao, 38Connie Xiao, 28Daniel B Xiao, 33

Nan Xiao Phones & Addresses

  • 320 Peninsula Ave APT 419, San Mateo, CA 94401
  • Mountain View, CA
  • Los Angeles, CA
  • 3217 Overland Ave APT 8118, Los Angeles, CA 90034

Resumes

Resumes

Nan Xiao Photo 1

Associate Professor

View page
Location:
1776 California St, Mountain View, CA 94041
Industry:
Biotechnology
Work:
Arthur A Dugoni School of Dentistry University of the Pacific
Associate Professor
University of Pacific Dugoni School of Dentistry
Assistant Professor
Stanford University School of Medicine Aug 2010 - Jun 2014
Post Doctoral Fellow
Ucla Sep 2009 - Aug 2010
Post Doctoral Fellow
Education:
The Hong Kong University of Science and Technology 2005 - 2009
Doctorates, Doctor of Philosophy, Biochemistry Peking University 1998 - 2005
Bachelors, Dentistry Peking University 2003 - 2005
Masters, Orthodontics
Skills:
Western Blotting
Cell Culture
Biochemistry
Confocal Microscopy
Animal Models
Molecular Biology
Immunofluorescence
In Vivo
Cell Biology
Immunohistochemistry
Fluorescence Microscopy
Stem Cells
Science
Molecular Cloning
Stem Cell Research
Tissue Culture
Cell
Microscopy
Languages:
English
Mandarin
Nan Xiao Photo 2

Nan Xiao

View page

Business Records

Name / Title
Company / Classification
Phones & Addresses
Nan Xiao
President
Silica Freight Services, Inc
227 W Vly Blvd, San Gabriel, CA 91776
2804 Gtwy Oaks Dr, Sacramento, CA 95833

Publications

Us Patents

Systems And Methods For Identifying And Modeling Unresolved Vessels In Imagebased Patient-Specific Hemodynamic Models

View page
US Patent:
20210210209, Jul 8, 2021
Filed:
Mar 22, 2021
Appl. No.:
17/208799
Inventors:
- Redwood City CA, US
Hyun Jin KIM - San Mateo CA, US
Leo GRADY - Darien CT, US
Rhea TOMBROPOULOS - Woodside CA, US
Gilwoo CHOI - Mountain View CA, US
Nan XIAO - San Jose CA, US
David SPAIN - San Mateo CA, US
International Classification:
G16H 50/50
G16H 30/40
Abstract:
Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

System And Methods For Estimation Of Blood Flow Characteristics Using Reduced Order Model And Machine Learning

View page
US Patent:
20210161384, Jun 3, 2021
Filed:
Feb 8, 2021
Appl. No.:
17/169912
Inventors:
- Redwood City CA, US
Sethuraman SANKARAN - Palo Alto CA, US
Leo GRADY - Darien CT, US
David SPAIN - San Mateo CA, US
Nan XIAO - San Jose CA, US
Jin KIM - Daly City CA, US
Charles A. TAYLOR - Atherton CA, US
International Classification:
A61B 5/00
G16H 30/40
G16H 50/50
G16H 50/70
G16H 50/20
A61B 5/02
Abstract:
Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

System And Methods For Estimation Of Blood Flow Using Response Surface And Reduced Order Modeling

View page
US Patent:
20200360088, Nov 19, 2020
Filed:
May 15, 2020
Appl. No.:
16/875767
Inventors:
- Redwood City CA, US
David LESAGE - Burlingame CA, US
Charles TAYLOR - Atherton CA, US
Nan XIAO - San Jose CA, US
Hyun Jin KIM - San Mateo CA, US
David SPAIN - Portland OR, US
Michiel SCHAAP - Redwood City CA, US
Assignee:
HeartFlow, Inc. - Redwood City CA
International Classification:
A61B 34/10
G16H 30/40
G16H 50/50
G16H 10/60
Abstract:
Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

System And Method For Diagnosis And Assessment Of Cardiovascular Disease By Comparing Arterial Supply Capacity To End-Organ Demand

View page
US Patent:
20200085502, Mar 19, 2020
Filed:
Nov 21, 2019
Appl. No.:
16/691266
Inventors:
- Redwood City CA, US
Hyun Jin KIM - Redwood City CA, US
Sophie KHEM - Redwood City CA, US
Sethuraman SANKARAN - Redwood City CA, US
David Spain - Redwood City CA, US
Nan XIAO - Redwood City CA, US
International Classification:
A61B 34/10
A61B 8/12
A61B 6/03
A61B 5/026
A61B 6/00
G16H 50/50
G16H 50/70
G16H 50/20
A61B 8/08
A61B 8/06
A61B 5/02
A61B 5/00
Abstract:
Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

Systems And Methods For Assessing The Severity Of Plaque And/Or Stenotic Lesions Using Contrast Distribution Predictions And Measurements

View page
US Patent:
20190247004, Aug 15, 2019
Filed:
Apr 26, 2019
Appl. No.:
16/396356
Inventors:
- Redwood City CA, US
Leo Grady - Millbrae CA, US
Sethuraman Sankaran - Palo Alto CA, US
Souma Sengupta - Cupertino CA, US
Hyun Jin Kim - San Mateo CA, US
Nan Xiao - San Jose CA, US
International Classification:
A61B 6/00
A61B 5/026
G06T 7/00
A61B 8/08
A61B 8/06
A61B 6/03
G16H 50/50
Abstract:
Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements. One method includes; receiving patient-specific images of a patient's vasculature and a measured distribution of a contrast agent delivered through the patient's vasculature; associating the measured distribution of the contrast agent with a patient-specific anatomic model of the patients vasculature; defining physiological and boundary conditions of a blood flow model of the patient's blood flow and pressure; simulating the distribution of the contrast agent through the patient-specific anatomic model; comparing the measured distribution of the contrast agent and the simulated distribution of the contrast agent through the patient-specific anatomic model to determine whether a similarity condition is satisfied; and updating the defined physiological and boundary conditions and re-simulating distribution of the contrast agent through the one or more points of the patient-specific anatomic model until the similarity condition is satisfied.

Systems And Methods For Identifying And Modeling Unresolved Vessels In Image-Based Patient-Specific Hemodynamic Models

View page
US Patent:
20190095574, Mar 28, 2019
Filed:
Nov 21, 2018
Appl. No.:
16/197844
Inventors:
- Redwood City CA, US
Hyun Jin KIM - San Mateo CA, US
Leo GRADY - Millbrae CA, US
Rhea TOMBROPOULOS - Woodside CA, US
Gilwoo CHOI - Mountain View CA, US
Nan XIAO - Redwood City CA, US
David SPAIN - San Mateo CA, US
International Classification:
G06F 19/00
G16H 50/50
Abstract:
Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

System And Methods For Estimation Of Blood Flow Characteristics Using Reduced Order Model And Machine Learning

View page
US Patent:
20180078139, Mar 22, 2018
Filed:
Sep 19, 2017
Appl. No.:
15/709195
Inventors:
- Redwood City CA, US
Sethuraman Sankaran - Palo Alto CA, US
Leo Grady - Millbrae CA, US
David Spain - San Mateo CA, US
Nan Xiao - Redwood City CA, US
Jin Kim - Daly City CA, US
Charles A. Taylor - Atherton CA, US
International Classification:
A61B 5/00
A61B 5/02
Abstract:
Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Systems And Methods For Identifying And Modeling Unresolved Vessels In Image-Based Patient-Specific Hemodynamic Models

View page
US Patent:
20170249439, Aug 31, 2017
Filed:
Feb 24, 2017
Appl. No.:
15/442102
Inventors:
- Redwood City CA, US
Hyun Jin KIM - San Mateo CA, US
Leo GRADY - Millbrae CA, US
Rhea TOMBROPOULOS - Woodside CA, US
Gilwoo CHOI - Mountain View CA, US
Nan XIAO - Redwood City CA, US
Buzzy SPAIN - San Mateo CA, US
International Classification:
G06F 19/00
Abstract:
Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.
Control profile
Nan Xiao from San Mateo, CA, age ~45 Get Report