Spectroscopic Image Visualization and Computing (SIVIC) is an open-source, standards-based software framework and application suite for processing and visualization of DICOM MR Spectroscopy data. Through the use of DICOM, SIVIC aims to facilitate the application of MRS in medical imaging studies.
DataPall is a free software system specifically designed to assist palliative care providers in record keeping, data management, and reporting. It is especially tailored to programs in low-resource settings. Rice 360 interns in Malawi developed DataPall, an electronic medical records system tailored to the needs of palliative care providers in the region. DataPall offers a user-friendly interface that allows health workers to accurately and efficiently input appointment records. The program allows for individual patient tracking and aggregate data management.
MeVisLab represents a platform for image processing research and development with a focus on medical imaging. It allows fast integration and testing of new algorithms and the development of application prototypes that can be used in clinical environments.
SCIRun is a problem solving environment or "computational workbench" in which a user selects software modules that can be connected in a visual programing environment to create a high level workﬂow for experimentation. Each module exposes all the available parameters necessary for scientists to adjust the outcome of their simulation or visualization. The networks in SCIRun are flexible enough to enable duplication of networks and creation of new modules.
Imebra SDK is a multiplatform open source C++ Dicom library.
The full source code of the C++ library, examples and documentation are freely available under the GPL license.
Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text. It processes clinical notes, identifying types of clinical named entities from various dictionaries including the Unified Medical Language System (UMLS) - medications, diseases/disorders, signs/symptoms, anatomical sites and procedures.
The research project Net4Care's aim is to develop a ecosystem to make it easy for small and medium sized businesses (SMBs) to build telemedical applications for the home.
The main area of support within the present edition is handling clinical observations in the home and ensuring they become available for clinician's work.
The Net4Care framework helps in this by providing:
ADDIS is a software developed within the Dutch Escher-project for managing and analyzing clinical trial information.
ADDIS is a proof-of-concept system that allows us to simultaneously discover the possibilities of and the requirements on a database of structured clinical trials data. The automated discovery and (meta-)analysis of trial data, as well as benefit-risk assessment is supported.
ADDIS comes with two built-in examples:
The Arden Syntax as a standardized language to represent medical knowledge can be used to express medical knowledge.
Arden2ByteCode is a open source compiler for the Arden Syntax. Arden2ByteCode runs on Java Virtual Machines (JVM) and translates Arden Syntax directly to Java bytecode (JBC)
executable on JVMs. It also serves as runtime environment for execution of the compiled bytecode.
The complexity of cellular networks is an outstanding challenge for documentation, visualisation and mathematical modelling. In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.
- Automatic visualiztion with Cytoscape.
- Automatic generation of rule based models for BioNetGen.
- Storage of biological facts that can be used for modelling.