Fidelity Investments
Compliance Analyst
Southern New Hampshire University Jan 2017 - May 2017
Applied Statistics Ii: Regression Analysis Final Project
Rbc Wealth Management Jun 2016 - Aug 2016
Intern
Education:
Southern New Hampshire University 2015 - 2019
Bachelors, Economics, Finance
Skills:
Finance Economics Research Leadership Regression Analysis Data Analysis Management Public Speaking Microsoft Excel Microsoft Office Microsoft Word Microsoft Powerpoint Project Management R
Medical School University of Michigan Medical School Graduated: 1975
Procedures:
Amniocentesis Cesarean Section (C-Section) Cystoscopy Delivery After Previous Caesarean Section Destruction of Benign/Premalignant Skin Lesions Destruction of Lesions on the Anus Hemorrhoid Procedures Hysterectomy Myomectomy Oophorectomy Ovarian Surgery Skin Tags Removal Tubal Surgery Vaccine Administration Vaginal Delivery Vaginal Repair
Conditions:
Abnormal Vaginal Bleeding Breast Disorders Complicating Pregnancy or Childbirth Conditions of Pregnancy and Delivery Ectopic Pregnancy
Languages:
English
Description:
Dr. Sanborn graduated from the University of Michigan Medical School in 1975. He works in Birmingham, MI and specializes in Obstetrics & Gynecology. Dr. Sanborn is affiliated with William Beaumont Hospital.
Us Patents
Bambam: Parallel Comparative Analysis Of High-Throughput Sequencing Data
John Zachary Sanborn - Santa Cruz CA, US David Haussler - Santa Cruz CA, US
International Classification:
G06F 19/18 G06Q 50/22
US Classification:
705 3, 702 19
Abstract:
The present invention relates to methods for evaluating and/or predicting the outcome of a clinical condition, such as cancer, metastasis, AIDS, autism, Alzheimer's, and/or Parkinson's disorder. The methods can also be used to monitor and track changes in a patient's DNA and/or RNA during and following a clinical treatment regime. The methods may also be used to evaluate protein and/or metabolite levels that correlate with such clinical conditions. The methods are also of use to ascertain the probability outcome for a patient's particular prognosis.
Bambam: Parallel Comparative Analysis Of High-Throughput Sequencing Data
John Zachary Sanborn - Santa Cruz CA, US David Haussler - Santa Cruz CA, US
International Classification:
G06Q 50/24 G06F 19/22
US Classification:
705 3, 702 19
Abstract:
A differential sequence object is constructed on the basis of alignment of sub-strings via incremental synchronization of sequence strings using known positions of the sub-strings relative to a reference genome sequence. An output file is then generated that comprises only relevant changes with respect to the reference genome.
Systems And Methods For Genetic Analysis Of Metastases
Contemplated systems and methods use identification and classification of somatic single nucleotide variants found in a primary tumor and metastases to determine phylogeny of the metastases.
Certain universal neoepitopes and cancer specific neoepitopes and methods therefore are presented that may be used in immunotherapy and cancer diagnosis. Preferred therapeutic and diagnostic compositions include antibodies or fragments thereof that bind to neoepitopes on cancer cells.
Healthcare Object Recognition, Systems And Methods
- Culver City CA, US John Zachary Sanborn - Santa Cruz CA, US Stephen Charles Benz - Santa Cruz CA, US Charles Joseph Vaske - Santa Cruz CA, US
International Classification:
G16H 10/60 G06Q 50/22
Abstract:
Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.
Systems and methods for prediction of the treatment outcome for immune therapy are presented in which omics data of a patient tumor sample are used. Most typically, the omics data are processed to identify mutational signatures (especially APOBEC/POLE signatures), immune checkpoint expression, and MSI status as leading indicators to predict the treatment outcome for immune therapy. Such prediction advantageously integrates various parameters that would otherwise, when individually considered, skew prediction outcome.
- Culver City CA, US Andrew Nguyen - San Jose CA, US Charles Joseph Vaske - Santa Cruz CA, US John Zachary Sanborn - Santa Cruz CA, US
International Classification:
A61K 39/00 C12N 5/0783
Abstract:
Certain universal neoepitopes and cancer specific neoepitopes and methods therefor are presented that may be used in immunotherapy and cancer diagnosis. Preferred therapeutic and diagnostic compositions include antibodies or fragments thereof that bind to neoepitopes on cancer cells.
Distributed System Providing Dynamic Indexing And Visualization Of Genomic Data
Systems and methods for dynamic visualization of genomic data are provided in which a genomic visualization system adapts presentation of information content according to scale-relevant annotations within a sequence object.
John Sanborn Phillips (1861 1949) attended Knox College in Illinois where he worked on the student newspaper. He met S. S. McClure there and the two went ...