Download data from medical device interfaces in ICU & Anaesthesia
A C# .NET app to download or capture data from several medical device interfaces such as Datex AS3 S/5 Anesthesia, Philips Intellivue, GE Dash, Mindray patient monitors, GE Engstrom, Draeger (Medibus), Maquet ventilators, Fresenius Agilia syringe and volumetric pumps. Requires Visual Studio 2015, .NET 4 or Xamarin Studio to compile. Android version requires Xamarin Studio, Android SDK to compile. Support for capture from other monitors is planned in future.
Generating documents and reports, offline enabled and reliable.
The library is a fork of the popular open source Jasper Reports and supports the common features provided by Jasper Reports, but offline and for mobile apps. The PDFReporter library supports iOS, Java and Android library. For your document and report design you use the PDFReporter Studio where you can visualize your data. If you want to use the library commercially please visit our official webpage.
A Fast, OpenSource Program for Docking Ligands to Proteins and N.Acids
rDock is a fast and versatile Open Source docking program that can be used to dock small molecules against proteins and nucleic acids. It is designed for High Throughput Virtual Screening (HTVS) campaigns and Binding Mode prediction studies. rDock is mainly written in C++ and accessory scripts and programs are written in C++, perl or python languages. The full rDock software package requires less than 50 MB of hard disk space and it is compilable in all Linux computers. Thanks to its design and implementation, it can be installed on a computation cluster and deployed on an unlimited number of CPUs, allowing HTVS campaigns to be carried out in a matter of days. The rDock program was developed from 1998 to 2006 by the software team at RiboTargets (subsequently Vernalis (R&D) Ltd). In 2006, the software was licensed to the University of York for maintenance and distribution. In 2012, Vernalis and the University of York agreed to release the program as Open Source software.
Intellect Modeling Kit ≠AI Intellect-based apps development suite
Intellect Modeling Kit is an alternative to traditional Artificial Intelligence, intended to build apps assisting human intellect on the steps of its activity: * Observation * Producing propositions based on knowledge * Elimination of impossible propositions * Selection and verification of the most appropriate propositions * Memorizing - converting data to information and new knowledge item creation * Abstraction finding – building artificial objects representing group of real objects, featuring typical signs of group Any human knowledge written and spoken can be uploaded to IMK in a straight way by any expert not familiar with software coding. The IMK components are designed to create ready-to-use software application using simple text files provided by people. IMK accepts human knowledge and develops new knowledge together with people. The activity of IMK could be verified by human expert on every stage. IMK assists intellectual activity, but does not replace us.
Statistical data analysis
Programa multiplataforma de libre distribución para el análisis estadístico y epidemiológico de datos. Free distribution cross-platform program for statistical and epidemiological analysis of data. Sitio web: http://www.sergas.es/Saude-publica/EPIDAT Souceforge: https://sourceforge.net/projects/epidat/ Wikipedia: https://es.wikipedia.org/wiki/Epidat
This project is a reasoner for the description logic EL+. It computes the concept subsumption hierarchy. It is an OWL 2 EL reasoner.
BioModels Database is a data resource that allows biologists to store, search and retrieve published mathematical models of biological interests. Models presented are annotated and linked to relevant data resources and are available in various format
(Q)SAR Model Reporting Format Inventory
In the regulatory assessment of chemicals (e.g. under REACH), Quantitative Structure Activity Models (QSAR) are playing an increasingly important role in predicting properties for hazard and risk assessment. This implies both a need to be able to identify relevant QSARs and to use them to derive estimates and/or have access to their precalculated estimates. To help meet these needs, the JRC QSAR Model Database is established and freely accessible through http://qsardb.jrc.ec.europa.eu/qmrf The QSAR Model Reporting Format (QMRF) is a harmonised template for summarising and reporting key information on QSAR models, including the results of any validation studies. The information is structured according to the OECD validation principles. Download the QMRF Editor in order to describe your models in QMRF format and send the descriptions to JRC-COMPUTOX@ec.europa.eu to have them included in the database. More at http://qmrf.sourceforge.net/
This application allow user to predict dissolution profile of solid dispersion systems based on algorithms like symbolic regression, deep neural networks, random forests or generalized boosted models. Those techniques can be combined to create expert system. Application was created as a part of project K/DSC/004290 subsidy for young researchers from Polish Ministry of Higher Education.
Markup Code generator
Classes for generation of not only (X)HTML code. It is possible to create also XML, XSL, SVG and many other - but possibilities are limited by original purpose: creation of HTML code.
Dissolution profile comparison Model Dependent-Independent Approach
Dissolution profile comparison (Biowaiver aid) Model Dependent-Independent Approach scripts for in-vitro dissolution profile comparison as proposed by Sathe et al. in 1996 (Sathe PM, Tsong Y, Shah VP. In-vitro dissolution profile comparison: statistics and analysis, model dependent approach. Pharm Res. 1996 Dec;13(12):1799-803) and Tsong et al. in 1996 (Tsong Y, Hammerstrom T, Sathe P, Shah VP. (1996) Statistical Assessment of Mean Differences between Two Dissolution Data Sets, Drug Info. J. 30:1105-1112).
Real-Time Processing Library for OSHW Biomedical Sensors
Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of clock cycles) were analyzed in the low-cost platform Arduino-Genuino. This library is free to use for research. Please cite above publication.