David Min Seo, Age 536255 120Th St, Miami, FL 33156

David Seo Phones & Addresses

6255 120Th St, Miami, FL 33156 (305) 663-3283

Pinecrest, FL

103 River Run Rd, Durham, NC 27712

9 Alamo Ct, Durham, NC 27705

704 Constitution Dr, Durham, NC 27705

Brookline, MA

Greensboro, NC

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Work

Company: UNIVERSITY OF MIAMI Address: 1475 Nw 12Th Ave, Miami, FL 33136

Education

School / High School: Duke University 1997

Languages

English

Awards

Healthgrades Honor Roll

Ranks

Certificate: Cardiovascular Disease, 2006

Mentions for David Min Seo

Career records & work history

Medicine Doctors

David Seo Photo 1

Dr. David M Seo - MD (Doctor of Medicine)

Specialties:
Cardiology
Procedures:
Cardiac Catheterization (incl. Coronary Angiography)
Cardiac Imaging
Cardiac Myocardial Perfusion Imaging
Chest CT (incl. Heart and Lungs)
Coronary Angioplasty, Atherectomy and Stent
Peripheral Artery Catheterization
Conditions:
Angina and Acute Coronary Syndrome
Aortic Aneurysm
Aortic Valve Disease
Arrhythmias (incl. Atrial Fibrillation)
Cardiomyopathy
Carotid Artery Disease
Congenital Heart Disease
Congestive Heart Failure
Coronary Artery Disease (CAD)
Heart Attack (Acute Myocardial Infarction)
Hyperlipidemia
Hypertension
Hypertensive Heart Disease
Hypotension
Mitral Valve Disease
Pericardial Disease
Pulmonary Hypertension
Septal Defect
Syncope
Tricuspid Valve Disease
Certifications:
Cardiovascular Disease, 2006
Internal Medicine, 2000
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
UNIVERSITY OF MIAMI
1475 Nw 12Th Ave, Miami, FL 33136
University Of Miami Cardiology
1120 Nw 14Th St, Miami, FL 33136
Univ Miami Hosp Crdiology
1295 Nw 14Th St Suite A, Miami, FL 33125
University of Miami Hospital
1400 North West 12Th Avenue, Miami, FL 33136
Sylvester Comprehensive Cancer Center/UMHC
1475 North West 12Th Avenue, Miami, FL 33136
Education:
Medical School
Duke University
Graduated: 1997

David M. Seo

Specialties:
Cardiovascular Disease
Work:
University Of Miami Medical GroupUniversity Miami Hospital Cardiology
1295 NW 14 St STE A, Miami, FL 33125
(305) 243-1900 (phone) (305) 243-1901 (fax)
Site
University Of Miami Medical GroupUniversity Of Miami Cardiology
1120 NW 14 St FL 11, Miami, FL 33136
(305) 243-5138 (phone) (305) 243-1731 (fax)
Site
Education:
Medical School
Duke University School of Medicine
Graduated: 1997
Procedures:
Cardiac Stress Test, Echocardiogram, Electrocardiogram (EKG or ECG), Pacemaker and Defibrillator Procedures
Conditions:
Angina Pectoris, Abnormal Vaginal Bleeding, Acute Myocardial Infarction (AMI), Atrial Fibrillation and Atrial Flutter, Cardiac Arrhythmia, Cardiomyopathy, Chronic Renal Disease, Conduction Disorders, Congenital Anomalies of the Heart, Diabetes Mellitus (DM), Disorders of Lipoid Metabolism, Heart Failure, Hypertension (HTN), Ischemic Heart Disease, Overweight and Obesity, Paroxysmal Supreventricular Tachycardia (PSVT), Substance Abuse and/or Dependency, Valvular Heart Disease
Languages:
English, Spanish
Description:
Dr. Seo graduated from the Duke University School of Medicine in 1997. He works in Miami, FL and 1 other location and specializes in Cardiovascular Disease. Dr. Seo is affiliated with University Of Miami Hospital.
David Seo Photo 2

David Min Suk Seo, Miami FL

Specialties:
Internal Medicine
Cardiovascular Disease
Cardiology
Work:
Cedars Medical Center
1400 NW 12Th Ave, Miami, FL 33136Sylvester Comprehensive Cancer Center
1475 NW 12Th Ave, Miami, FL 33136University of Miami Hospital
1295 NW 14Th St, Miami, FL 33125
Education:
Duke University(1997) Internal Medicine

License Records

David M Seo

Address:
1150 NW 14 St SUITE 501, Miami, FL
1295 NW 14 Ave University Of Miami Hospital SUITE A, Miami, FL
Phone:
(305) 243-7997
Licenses:
License #: 99044 - Active
Category: Health Care
Issued Date: Jun 14, 2007
Effective Date: Jan 29, 2015
Expiration Date: Jan 31, 2019
Type: Medical Doctor

David Seo resumes & CV records

Resumes

David Seo Photo 39

Executive Director - Ernst & Young (Transaction Advisory Services)

Position:
Executive Director at Ernst & Young - Transaction Advisory Services
Location:
San Francisco, California
Industry:
Accounting
Work:
Ernst & Young - Transaction Advisory Services - San Francisco Bay Area since Aug 2004
Executive Director
Boeing Capital Corporation Sep 2002 - Jul 2004
Tax Counsel
Skadden Arps Sep 1997 - Jun 2002
Associate
Education:
University of Southern California Law School 1994 - 1997
Juris Doctor, Law
University of Pennsylvania 1988 - 1992
BA, Economics
Skills:
Due Diligence, Tax, Mergers, Corporate Finance, Corporate Tax, Private Equity, Restructuring, Tax Law
David Seo Photo 40

Chief Medical Informatics Officer And Associate Vice President, Information Technology For Clinical Applications

Position:
Associate Vice President, Information Technology for Clinical Applications at University of Miami, Chief Medical Informatics Officer at University of Miami, Chief Research Informatics Officer at University of Miami, Associate Professor at University of Miami
Location:
Miami, Florida
Industry:
Hospital & Health Care
Work:
University of Miami since Jul 2012
Associate Vice President, Information Technology for Clinical Applications
University of Miami since Jun 2011
Chief Medical Informatics Officer
University of Miami since Dec 2011
Chief Research Informatics Officer
University of Miami since Apr 2007
Associate Professor
Duke University Medical Center 2001 - 2007
Assistant Professor
Duke University Medical Center 2000 - 2004
Cardiology Fellow
Education:
Duke University School of Medicine 1993 - 1997
MD, Medicine
Duke University 1989 - 1993
BS, Biology
Skills:
Medical Research, Cell Biology, Internal Medicine, Clinical Research, Public Health, Genomics, Board Certified, Clinical Trials, Science, Cardiac Care, Computational Genomics, Translational Medicine, Bioinformatics, Research Management, Health Care IT, Electronic Medical Records, Healthcare, EMR, Stem Cell Research, Western Blotting, real-time PCR, Cardiology, Genetics
David Seo Photo 41

David Seo

Location:
United States

Publications & IP owners

Us Patents

Expression Analysis Of Coronary Artery Atherosclerosis

US Patent:
2011028, Nov 24, 2011
Filed:
Oct 14, 2009
Appl. No.:
13/124220
Inventors:
David M. Seo - Pinecrest FL, US
Pascal J. Goldschmidt - Miami FL, US
Jennifer Clarke - Miami FL, US
Assignee:
University of Miami - Miami FL
International Classification:
C40B 30/04
C40B 40/06
US Classification:
506 9, 506 16
Abstract:
This invention relates, e.g., to a method for screening a subject for the presence of coronary atherosclerosis, said method comprising measuring the expression level of at least 5 of the genes of Table 2 in a biological sample obtained from said subject, wherein an elevated level of expression of said 5 genes compared to a control level measured in a population of normal subjects is indicative of an increased probability of the subject having significant subclinical coronary atherosclerosis. Methods for deciding on a treatment modality, based on a diagnostic procedure of the invention, are also described, as are kits for carrying out a method of the invention.

Atherosclerotic Phenotype Determinative Genes And Methods For Using The Same

US Patent:
2006014, Jun 29, 2006
Filed:
Aug 4, 2005
Appl. No.:
11/198782
Inventors:
Mike West - Durham NC, US
Joseph Nevins - Chapel Hill NC, US
Pascal Goldschmidt - Chapel Hill NC, US
David Seo - Durham NC, US
Assignee:
Duke University Office of Science and Technology - Durham NC
International Classification:
C12Q 1/68
G06F 19/00
US Classification:
435006000, 702020000
Abstract:
Genes whose expression is correlated with and determinant of an atherosclerotic phenotype are provided. Genes whose expression is correlated with and determinant of an atherosclerotic susceptibility are also provided. Also provided are methods of using the subject atherosclerotic determinant genes or the atherosclerotic susceptibility genes in diagnosis and treatment methods, as well as drug screening methods. In addition, reagents and kits thereof that find use in practicing the subject methods are provided. Also provided are methods of determining whether a gene is correlated with a disease phenotype, where correlation is determined using at least one parameter that is not expression level and is preferably determined using a binary prediction tree analysis.

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