Biomedical Informatics
From XLDB
Biomedical Informatics is one of the newest research lines of LASIGE, where the XLDB Team is committed on several ongoing research projects and academic programmes (Master in Biomedical Informatics at FCUL).
The research focus straddles Informatics and the following topics: Text/Graph Mining (sources: Bioliterature, Protein Interactions, Sequences); Biomedical Ontologies Applications; Clinical Informatics; Therapy support; Biomedical information retrieval; Semantic searches bridging the gap between the medical jargon and everyday language; E-learning (education & training) in Health; Privacy preservation and access control; Epidemiological data collection & integration; Decision Support
A list of short presentations made by the post-graduate students at May, 2011: Handouts
LASIGE is a General Member of the Virtual Physiological Human Network of Excelence.
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Team
- Faculty: Francisco Couto (head), André Falcão, Cátia Pesquita
- Post-doctoral Researchers: Daniel Faria
- Doctoral Researchers: Ana Teixeira, Cátia Machado, Hugo Bastos, Tiago Grego, João D Ferreira, João Zamite
- Master Students: Bruno Tavares, Inês Martins, Manuela Cardoso, Rony Reis, Sara Cardoso
- Collaborators: Mário J. Silva
- Past-Members: Luís Filipe Lopes
Active Projects
- AEB
- Automated Extension of BioOntologies
- ASSUME
- Data mining methods for ASessing Similarity of molecular structUres in MEtric spaces
- CoherenZy
- Methods for Carbohydrate Enzyme Family Coherency Assessment
- EPIWork
- Developing the framework for an epidemic forecast infrastructure
- FiBRE
- Filtering Bioentity Recognition Errors
- HCM
- Integration and exploration of clinical and biological data about the disease Hypertrophic Cardiomyopathy
- ThermInfo
- Collecting, Retrieving, and Estimating Reliable Thermochemical Data
- SABO
- Semantic similarity across biomedical ontologies (VPH-NoE)
- SOMER
- Semantic Ontology Matching using External Resources
Ongoing Activities
Past Projects and Activities
The following research projects have ended:
