phpESP is a collection of PHP scripts to let non-technical users create surveys, administer surveys, gather results, view statistics. All managed online after database initialization.
You can use the category filters given on the right sidebar to narrow down your search results.
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R."
PROSIT is an international scientific open source development community for health economic disease models in medicine. prosit [latin] = "it shall be useful"
Aim of this development community is to provide valid and lasting open source disease models for chronic diseases such as diabetes. Disease models for relevant late complications of diabetes mellitus (i.e. nephropathy, retinopathy, diabetic foot syndrome, stroke, myocardial infarction) have been developed. The future mission is to integrate also models for other chronic diseases such as asthma, COPD and more.
MRmap is a flexible software tool that enables T1, T2, and T2* mapping from source images of multiple types of pulse sequences (IR-prepared multi-image T1 mapping, Look-Locker/ TOMROP T1 mapping, MOLLI T1 mapping; single- and multi-echo T2/ T2* mapping).
MRmap is a pure research tool and is not intended for any diagnostic or clinical use.
Xphile is a free, open source radiology teaching library system for Mac OS X. The project is an effort to create an easily accessed local solution for storing and categorising radiology images and descriptions. Xphile requires a minimum of Mac OS X 10.4.
- Store images exported from your PACS system
- Drag and drop cases directly from OsiriX
- Browse by system, pathology and region
- Make smart and simple albums
- Create Keynote presentations
- Query, import to and export from MIRC sites
Caisis is an open source, web-based cancer data management system that integrates research with patient care. The system is freely distributed to promote scientific collaboration, and over the course of the last five years many other institutions have adopted the system. Collaboration with multiple centers has allowed Caisis to develop and evolve in an environment of constant feedback and scrutiny. This environment has shaped the features, usability, and accessibility of Caisis.
dicompyler is an extensible, fully open source radiation therapy research platform based on the DICOM standard. It also functions as a cross-platform viewer for DICOM and DICOM RT objects. dicompyler is written in Python and is built on pydicom, wxPython, PIL, and matplotlib and runs on Windows, Mac OS X and Linux.
tranSMART is a knowledge management platform that enables scientists to develop and refine research hypotheses by investigating correlations between genetic and phenotypic data, and assessing their analytical results in the context of published literature and other work.
The integration, normalization, and alignment of data in tranSMART permits users to explore data very efficiently to formulate new research strategies. Some of tranSMART's specific applications include:
OpenPPRN is a collaboration between multiple Patient-Powered Research Networks to build an open, shared patient-facing web & mobile technology infrastructure.
With this "Open" PPRN, in the push of a button, you'll be able to deploy a Patient-Powered Research Network that is complete with:
- Patient Registry
- Research Survey Platform
- Health Data Aggregation & Visualization
- Mobile Health Tracking
- Patient Social Network
Customizable: Select just the features you want.
i2b2 (Informatics for Integrating Biology and the Bedside) is an NIH-funded National Center for Biomedical Computing based at Partners HealthCare System. The i2b2 Center is developing a scalable informatics framework that will enable clinical researchers to use existing clinical data for discovery research and, when combined with IRB-approved genomic data, facilitate the design of targeted therapies for individual patients with diseases having genetic origins. This platform currently enjoys wide international adoption by the CTSA network, academic health centers, and industry.