DR. JULIANNE KRISTIN PURDY, M.D.
Student, Health Care in Ann Arbor, MI
License number
Michigan 4301086448
Category
Medical Practice
Type
Anatomic Pathology & Clinical Pathology
License number
Michigan 4301086448
Category
Student, Health Care
Type
Student in an Organized Health Care Education/Training Program
Address
Address
1500 Floor University Hospital Recp Pathology, Ann Arbor, MI 48109
Phone
(800) 862-7284
(734) 936-2047
(734) 936-2047
Professional information
Dr. Julianne K Purdy, Memphis TN - MD (Doctor of Medicine)
Specialties:
Anatomic & Clinical Pathology
Age:
50
Address:
3495 Hacks Cross Rd, Memphis 38125
(901) 526-7444 (Phone), (901) 271-2606 (Fax)
GASTROINTESTINAL PATHOLOGY PROFESSIONAL LIMITED LIABILITY COMPANY
150 Collins St, Memphis 38112
(901) 526-7477 (Phone), (901) 526-0791 (Fax)
1330 Horseshoe Cir SUITE 204, Ann Arbor 48108
1500 E Medical Center Dr SUITE 2ND, Ann Arbor 48109
(800) 862-7284 (Phone)
(901) 526-7444 (Phone), (901) 271-2606 (Fax)
GASTROINTESTINAL PATHOLOGY PROFESSIONAL LIMITED LIABILITY COMPANY
150 Collins St, Memphis 38112
(901) 526-7477 (Phone), (901) 526-0791 (Fax)
1330 Horseshoe Cir SUITE 204, Ann Arbor 48108
1500 E Medical Center Dr SUITE 2ND, Ann Arbor 48109
(800) 862-7284 (Phone)
Certifications:
Anatomic & Clinical Pathology, 2009
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School
University of Cincinnati / Main Campus
Graduated: 2005
University of Cincinnati / Main Campus
Graduated: 2005
Julianne Kristin Purdy, Ann Arbor MI
Specialties:
Pathologist
Address:
1500 E Medical Center Dr, Ann Arbor, MI 48109
Education:
Doctor of Medicine
Board certifications:
American Board of Pathology Certification in Clinical Pathology (Pathology)
Multimodal Spectroscopic Systems And Methods For Classifying Biological Tissue
US Patent:
8239139, Aug 7, 2012
Filed:
Jun 5, 2009
Appl. No.:
12/479600
Inventors:
Mary-Ann Mycek - Ann Arbor MI, US
Malavika Chandra - Lansdale PA, US
James Scheiman - Sup Township MI, US
Robert H. Wilson - Ann Arbor MI, US
Diane Simeone - Ann Arbor MI, US
Barbara McKenna - Ann Arbor MI, US
Julianne Purdy - Ann Arbor MI, US
Malavika Chandra - Lansdale PA, US
James Scheiman - Sup Township MI, US
Robert H. Wilson - Ann Arbor MI, US
Diane Simeone - Ann Arbor MI, US
Barbara McKenna - Ann Arbor MI, US
Julianne Purdy - Ann Arbor MI, US
Assignee:
The Regents of the University of Michigan - Ann Arbor MI
International Classification:
G01N 33/48, G06F 7/60, G06G 7/58
US Classification:
702 19, 702 20, 703 2, 703 11
Abstract:
Multimodal optical spectroscopy systems and methods produce a spectroscopic event to obtain spectroscopic response data from biological tissue and compare the response data with preset criteria configured to correlate the measured response data and the most probable attributes of the tissue, thus facilitating classification of the tissue based on those attributes for subsequent biopsy or remedial measures as necessary.
Multimodal Spectroscopic Systems And Methods For Classifying Biological Tissue
US Patent:
2010033, Dec 30, 2010
Filed:
Sep 14, 2010
Appl. No.:
12/882131
Inventors:
Mary-Ann Mycek - Ann Arbor MI, US
Malavika Chandra - Lansdale PA, US
James Scheiman - Sup Twp MI, US
Robert H. Wilson - Ann Arbor MI, US
Diane Simeone - Ann Arbor MI, US
Barbara McKenna - Ann Arbor MI, US
Julianne Purdy - Ann Arbor MI, US
Jeremy Taylor - Ann Arbor MI, US
Oliver Lee - Ann Arbor MI, US
Malavika Chandra - Lansdale PA, US
James Scheiman - Sup Twp MI, US
Robert H. Wilson - Ann Arbor MI, US
Diane Simeone - Ann Arbor MI, US
Barbara McKenna - Ann Arbor MI, US
Julianne Purdy - Ann Arbor MI, US
Jeremy Taylor - Ann Arbor MI, US
Oliver Lee - Ann Arbor MI, US
Assignee:
The Regents of the University of Michigan - Ann Arbor MI
International Classification:
C12Q 1/02, C12M 1/34
US Classification:
435 29, 4352887
Abstract:
Multimodal optical spectroscopy systems and methods produce a spectroscopic event to obtain spectroscopic response data from biological tissue and compare the response data with an empirical equation configured to correlate the measured response data and the most probable attributes of the tissue, thus facilitating classification of the tissue based on those attributes for subsequent biopsy or remedial measures as necessary.