Past

Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCD) - Phase II

NIH BD2K Admin Supplement 3U54HG008540-03S1

Co-investigator (PI: Cooper Greg, University of Pittsburgh)

The Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCD) and the Patient-centered Information Commons (PIC-SURE) will collaborate to develop a system that shares data, and computational accessibility in an externally hosted environment (i.e., cloud). We will start by developing a standardized RESTful Application-Programming-Interface (API) that will enable our organizations to share data and the analysis results. This will serve as...

Read more about Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCD) - Phase II

i2b2/tranSMART pilot study on the cloud using Redshift - Phase II

Amazon Web Services Research

Grant EDU_R_FY2016

PI $55K

To handle increasing data volumes and potential new sources of data, and to promote patient engagement, we intend to conduct a pilot study that involves hosting this infrastructure on a paradigm which provides high storage, computing power and availability, AWS.

Our project plan comprises 2 phases:

- Phase 1 will involve transforming the open access NDAR (National Database for Autism Research) database to the i2b2/tranSMART model. The transformed NDAR and the existing Oracle...

Read more about i2b2/tranSMART pilot study on the cloud using Redshift - Phase II

i2b2/tranSMART pilot study on the cloud using Redshift - Phase I

Amazon Web Services Research Grant

EDU_R_FY2015_Q2_HarvardMedicalSchool_Avillach-NEW

PI $100K

To handle increasing data volumes and potential new sources of data, and to promote patient engagement, we intend to conduct a pilot study that involves hosting this infrastructure on a paradigm which provides high storage, computing power and availability, AWS.

Our project plan comprises 2 phases:

- Phase 1 will involve transforming the open access NDAR (National Database for Autism Research) database to the i2b2/tranSMART model. The...

Read more about i2b2/tranSMART pilot study on the cloud using Redshift - Phase I

Count Everything

NIH BD2K Admin Supplement 3U54HG008540

Co-Investigator (PI: Haussler / Kohane / Ohno-Machado)

Integrate BD2K RESTful clinical API with GH4GH Genomic RESTful API

Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCD)

NIH BD2K Admin Supplement 3U54HG008540-02S1

Co-investigator (PI: Cooper Greg, University of Pittsburgh)

The Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCD) and the Patient-centered Information Commons (PIC-SURE) will collaborate to develop a system that shares data, and computational accessibility in an externally hosted environment (i.e., cloud). We will start by developing a standardized RESTful Application-Programming-Interface (API) that will enable our organizations to share data and the analysis results. This will serve as...

Read more about Center for Causal Modeling and Discovery of Biomedical Knowledge from Big Data (CCD)

Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS) - Phase II

PCOR - CDRN

Co-Investigator (PI: Ken Mandl)

Leveraging an informatics infrastructure that our investigators have developed over the past 15 years, the Department of Biomedical Informatics (DBMI) at Harvard Medical School will work across 10 healthcare centers throughout the U.S. to develop the Scalable Collaborative Infrastructure for a Learning Health System (SCILHS, pronounced "skills"). An open-source platform, the system will cover more than 8 million patients and enable clinician and patient participation in research. 

Neuropsychiatric Genome-Scale and RDoC Individualized Domains (N-GRID)

NIH P50 MH106933

Co-Investigator (PI: Isaac Kohane)

As a result of the accelerated pace of development of technologies for characterizing the human genome, the rate-limiting step for large scale genomic investigation in clinical populations is now phenotyping. This is particularly the case for neuropsychiatric (NP) illness, where phenotypes are complex, biomarkers are lacking, and the primary cell types of interest are difficult to access directly. It has become apparent that both rare and common genetic variation contributes to disease risk and that this risk...

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EMIF: European Medical Information Framework

IMI European Commission: Grant No 115372 http://www.imi.europa.eu/content/emif

Site PI and Task Leader ($250K) (total project: $74 million) (PI: Simon Lovestone / Johan van der Lei)

Generating a common patient health information framework addressing the two research topics: Obesity and its metabolic complications; and Markers for the development of Alzheimer's disease (AD) and other dementias. Existing human health data sources that are within scope of EMIF can be grouped into three types: 1) General-purpose-collected EHR data - 52 million patients across Europe, 2...

Read more about EMIF: European Medical Information Framework

Phelan-McDermid Syndrome Data Network (PMS_DN) - Phase I

PCORI - PPRN

Co-PI ($624K) Total $950K (PI: Megan O'Boyle)

To collect all available patient data from Phelan-McDermid Syndrome (PMS) patients to make meaningful, well-annotated clinical data available to researchers and to share insights with members of the PCORI network.

TranSMART platform based on i2b2 is being used to integrate Patient Reported Outcomes and Knowledge extracted from Clinical Notes using cTAKES

Autism Pilot

BCH internally-funded Gene partnership / Research Connection

Co-Investigator ($800k) (PI: Isaac Kohane)

Creating a comprehensive autism clinical and genomic database using an i2b2-based research platform: tranSMART

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