JacobTylerShreveMD

Hematology Oncology fellow at Mayo Clinic. Currently excited to be leveraging artificial intelligence on cancer data.

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Dr. Jacob Shreve is an oncologist in Rochester, MN and is affiliated with multiple hospitals in the area, including Cleveland Clinic and Mayo Clinic Hospital - Rochester. He received his medical degree from Indiana University School of Medicine and has been in practice 0 years. He is experienced in personalized medicine, genomics, artificial intelligence, and bioinformatics. He has more than 20 publications and over 500 citings.

Mayo Clinic College of Medicine and ScienceFellowship, Hematology and Medical Oncology, 2021 - 2024
Cleveland Clinic FoundationResidency, Internal Medicine, 2018 - 2021
Indiana University School of MedicineClass of 2018

PubMed

123 citations
MED18 interaction with distinct transcription factors regulates multiple plant functions
Zhibing Lai, Craig Schluttenhofer, Ketaki Bhide, Jacob Shreve, Jyothi Thimmapuram
Nature Communications. 2014-01-23
43 citations
Personalized Prediction Model to Risk Stratify Patients With Myelodysplastic Syndromes
Aziz Nazha, Rami S. Komrokji, Manja Meggendorfer, Xuefei Jia, Nathan Radakovich
Journal of Clinical Oncology. 2021-08-18
12 citations
A Case of Successful Thromboelastographic Guided Resuscitation after Postpartum Hemorrhage and Cardiac Arrest.
Hurwich M, David M. Zimmer, Guerra E, Edward Evans, Shire T
The Journal of Extra-Corporeal Technology. 2016-12-01

Journal Articles

The evolving landscape of myelodysplastic syndrome prognostication
Shreve, J.T., Nazha, A., Clinical Hematology International, 4/1/2020

Abstracts/Posters

Predicting Response to Hypomethylating Agents in Patients with Myelodysplastic Syndromes (MDS) Using Artificial Intelligence (AI)
Jacob Shreve, 61st Annual American Society of Hematology Meeting, Orlando, FL, 12/7/2019
Geno-Clinical Model for the Diagnosis of Bone Marrow Myeloid Neoplasms
Jacob Shreve, 61st Annual American Society of Hematology Meeting, Orlando, FL, 12/9/2019

Lectures

A Personalized Prediction Model to Risk Stratify Patients with Acute Myeloid Leukemia (AML) Using Artificial Intelligence
61st Annual American Society of Hematology Meeting - Orlando, FL - 12/7/2019