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Center for Computational Biomedicine

Grants

Grant: (Denny)                                                                   Project Period: 07/01/2016 - 06/30/2021
Agency: Vanderbilt/NIH
Title:  Partnership in Learning around Engagement, Data, Genomics, and Environment (PLEDGE)
Goal: This proposal is for creating the coordinating center for the Precision Medicine Initiative and is founded on a framework for linking the development and building stages for efficient production of all necessary elements, catalyzing the distal outcomes of the initiative.


Grant: (Xu)                                                                          Project Period: 09/01/2016 - 08/31/2021
Agency: NIH/NCI
Title:  Advancing Cancer Pharmacoepidemiology Research through EHRs and Informatics
Goal: This project will integrate and extend previously developed tools to build an informatics infrastructure for electronic health records (EHR) data extraction, interpretation, management, and analysis, to advance cancer pharmacoepidemiology research.

Grant: 69357270 (Lucila Ohno-Machado)                      Project Period: 10/01/2015 - 09/30/2018
Agency: University Of California, San Diego/PCORI
Title:  pSCANNER (patient-centered SCAlable National Network for Effectiveness Research)
Goal: pSCANNER ascribes to make health data more accessible and usable for the generation of scientific evidence that patients, clinicians, and other stakeholders together use to make informed health decisions.


Grant: R01LM011829 (Tao)                                               Project Period: 09/01/2014 - 08/31/2018
Agency: NIH/NLM
Title: Patient Medical History Representation, Extraction, and Inference from EHR Data
Goal: This project is to develop novel informatics approaches to deal with the representation, inference, and extraction of temporal relationships in medical text and data.


Grant: R01HS022895 (Gong)                                            Project Period: 09/30/2014 - 09/29/2019
Agency: AHRQ
Title: Learning from patient safety events: A case based toolkit
Goal: To develop a case-based toolkit for promoting reporting and learning of patient safety events.


Grant: R01LM010681 (Xu)                                                 Project Period: 05/31/2010 - 09/28/2018
Agency: NIH/NLM
Title: Interactive machine learning methods for clinical natural language processing
Goal: This proposal is to develop new interactive machine learning methods for various clinical natural language processing tasks.


Grant: R01GM103859 (Denny, Pathak, & Xu)                 Project Period: 09/18/2014 – 5/31/2018
Agency: Vanderbilt/NIGMS
Title: Informatics Tools for Pharmacogenomic Discovery using Practice-based Data
Goal: In this study, we propose to collaborate with i2b2 to extend its informatics framework to the pharmacogenomics domain, by developing new natural language processing and ontology components and applying them to real-world pharmacogenomic studies.


Grant: R01GM102282 (Liu, Xu, Pakhomov)                    Project Period: 04/01/2013 - 03/31/2017         Agency: Mayo Clinic/NIGMS
Title: Natural Language Processing for Clinical and Translational Research
Goal: The project aims to define a common type system for clinical NLP and develop wrappers to transform existing NLP systems (e.g., KnowledgeMap and MedEx) to be consistent with the defined common type system.


Grant: U24AI117966 (Lucila Ohno-Machado)                Project Period: 09/29/2014 - 08/31/2017
Agency: University Of California, San Diego/NIH               
Title: BioCADDIE: Biomedical and healthCAre Data Discovery and Indexing Ecosystem
Goal: The primary goal of this project is to develop a biomedical and healthcare Data Discovery and Indexing Engine by creating a Data Discovery Index Coordination Consortium (DDICC).


Grant: U01CA180964 (Bernstam & Meric-Bernstam)    Project Period: 09/01/13 - 08/31/16
Agency: NIH/NCI
Title: Informatics to enable routine personalized cancer therapy.                                                
Goal: This project aims to develop a framework for the aggregation and synthesis of information pertinent to personalized cancer therapy, to provide support for clinical decision making.


Grant: R01LM011563 (Cohen)                                          Project Period: 09/01/13 - 08/31/16
Agency: NLM
Title: Using Biomedical Knowledge to Identify Plausible Signals for Pharmacovigilance
Goal: The major goal of this proposal is to use knowledge extracted from the biomedical literature to attempt to isolate plausible drug side-effect relationships from the biomedical literature for the purpose of post-marketing surveillance