The further development of this academic research into commercial applications has been heavily supported by the Flemish government via the IWT (Institute for the Promotion of Innovation by Science and Technology in Flanders) and many European Union (EU) funded research projects.

CURRENT PROJECTS:

ALLADIN (EU)
The ALLADIN (Natural Language Based Decision Support in Neuro-rehabilitation) project focuses on the development of a user-friendly natural language based decision support software for neuro-rehabilitation, in particular in stroke. L&C is developing a neuro-rehabilitation specific ontology. https://alladin.manuf.bme.hu/

COCOON(EU)
COCOON (Building knowledge driven and dynamically adaptive networked communities within European healthcare system) is an Integrated Project aimed at supporting health care professional in reducing risk management in their daily practices by building knowledge driven & dynamically adaptive networked communities within European healthcare systems. L&C supports the contextualisation of patient data, designs and implements an ontology for medical risk management and semantic indexing.

PALLIANET(EU)
PALLIANET objective is to support knowledge driven collaborative practices in order to minimize risks in the context of palliative care. A solution will be conceived supporting the needs of city-hospital networks for palliative care by combining a knowledge management service, advanced human-computer interaction features that makes access to knowledge easy and natural for caregivers, and coordination facilities to make explicit best practices. L&C will contribute to the ontological approach of the knowledge management in the domain of palliative care. http://www.pallianet.eupm.net/my_spip/index.php

COREA (STEVIN)
The COREA project is a two-year project which started in July 2005. The goal of the project is to develop a robust system for the resolution of coreferential relations in text. The effect of making coreference relations explicit on the accuracy of systems for IE and QA will be investigated. Language and Computing contributes its expertise with the development for the medical domain of natural language processing applications in general, and Information Extraction applications and ontology building in particular. http://www.cnts.ua.ac.be/~hoste/corea.html

FINISHED PROJECTS:

KDMED (IWT)
With KDMED, the IWT decided to support our new research in information extraction, deep semantic analysis and knowledge representation with a focus on biomedical literature. The outcome is a workflow of advanced ontology-based NLP components for extracting clinical and biological information with high precision and recall, turning information into high-quality knowledge bases which have effective use in drug development. This support by IWT is a strong sign of recognition for the technological position that we have already built within L&C.

GOOSE (IWT)
GOOSE objective is to develop a graphical environment for the configuration of semantic (Natural Language Understanding) processes. It is based on a WorKFlow architecture which supports distributed processing.

SCOP (IWT, EUREKA project)
SCOP (Secure Care On-line Pocket) will Semantically Connect Ontologies to Patient Data, developing a new communication system for healthcare workers via EHR: this will yield better, universal, real-time access to medical data, accompanied by better management and security. L&C contributes by semantically mapping different Databases (Patient data, procedures, clinical guidelines, lexicons) and automatically coding to CIM-10 and CCAM.

INFACE (EU)
INFACE (Advanced Visual InterFACEs for timely Retrieval of Patient related Information) has as its purpose to create an environment that allows ontology-based semantic search and image retrieval from databases on breast oncology via a visual interface using pattern recognition tools. L&C will design and implement a domain ontology and Medical Standards database together with a Natural Language Processing module

FF POIROT (EU)
FF POIROT stands for Financial Fraud Prevention-Oriented Information Resources using Ontology Technology and is a project which goes beyond the medical domain. It aims to improve the interoperability of the information systems used by different European law enforcers in prevention/investigation of financial fraud and includes Semantic Web-oriented tools/methodology and a multi-domain multi-lingual ontology for financial forensics (covering the finance and legal domain in English, French, Italian and Dutch).

MEMO (EU)
MEMO is the Medical Mobile Devices-Cluster Project which includes a market and technology watch and brings about the centralization of information on all relevant MMD application aspects on a website.
http://www.med-mobile.org/test/index.php

HOMEY (EU)
HOMEY (Home monitoring through intelligent dialog system) is a guided EHR questioning environment for a chronic patient suffering from breast cancer and hypertension. Features include multi-lingual (Italian and UK-English) and multi-modal interaction (voice/GUI, fixed/mobile network). L&C is developing a dialog manager with semantic dictionaries (ontology of tasks for tele-medicine services, semantic dictionary look-up module) with dynamic adaptation.
http://turing.eng.it/pls/homey/homey.home

LIQUID (EU)
This acronym stands for Language Independent Query system for Information Discovery. The system enables searching for gastroenterological information via queries using technologies based on natural language understanding which allow concepts and terms of an ontology to be used to enrich a query.
http://liquid.sema.es/

Mobi-dev (EU)
In Mobi-dev (Mobile device for medical applications), we are creating, together with our European partners, a PDA-based wireless environment to enter and retrieve medication data in different settings (in-hospital, ambulatory, home-care). L&C's contribution is in providing speech-recognition facilities and its own proprietary language-understanding tools.
http://www.mobi-dev.arakne.it

WardLAN (IWT)
WardLAN aims to create a prescription workflow system using voice/language technology on PDAs for in-hospital use. Once voice has been converted into text via the use of standard commercially available voice recognition modules, L&Cs technology structures the free text medical input into complete prescription information.

C-Care (EU)
The C-Care project developed regional data repositories in which crucial patient information from regional hospitals and physician offices is stored. This information is then accessible by the different emergency centers and by physicians on house calls via Internet, phone, etc. L&C's contribution was to provide access to the central server by phone; the system manages the user dialogue, using Text-To-Speech technology, and provides the requested clinical information.

SHARE project (IWT)
The subject of the SHARE project is comparable to that of the C-Care project but for the Dutch language.

ACAMeD (IWT)
ACAMeD (Automatic Content Analyser for Medical Documents) analyzes full text discharge summaries and performs coding to ICD9-CM. The system is designed to be generic, which means independent of language, domain and coding system.