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Research Lines  •

Health and Biomedical Informatics

Description

LASIGE presents a longstanding record of research contributions in the area of Health & Biomedical Informatics (HBI), by providing innovative solutions for processing biological and medical data, and for supporting the discovery of new biomedical insights. This research line aims to encompass all the scientific work in LASIGE where informatics plays a fundamental role in creating new knowledge in life and health sciences.

Scientific areas

  • Bioinformatics
  • Chemoinformatics
  • Text mining of biomedical literature and multilingual electronic medical records
  • Biomedical data mining, machine learning, and data analytics
  • Semantic web technologies, linked data and biomedical ontologies
  • Health and biomedical decision support systems
  • Technology adoption in health‐care
  • Ubiquitous health systems
  • Physiologic sensing and monitoring
  • Interaction design for healthcare
  • Biomedical data visualization, media and wellbeing
  • Storage and protection of large biomedical data
  • Biomedical data privacy

Leader:

Cátia Pesquita
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André Rodrigues Integrated Researcher
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Andreia Sofia Teixeira Integrated Researcher
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Carlos Duarte Integrated Researcher
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Cátia Pesquita Integrated Researcher
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Francisco M. Couto Integrated Researcher
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Helena Aidos Integrated Researcher
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João Balsa da Silva Integrated Researcher
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João Bimbo Integrated Researcher
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Luís Carriço Integrated Researcher
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Manuel Fonseca Integrated Researcher
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Márcia Barros Integrated Researcher
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Maria Beatriz do Carmo Integrated Researcher
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Nuno Garcia Integrated Researcher
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Sara C. Madeira Integrated Researcher
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Soraia Meneses Alarcão Integrated Researcher
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Teresa Chambel Integrated Researcher
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Tiago Guerreiro Integrated Researcher
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Vinicius Cogo Integrated Researcher
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Ana Filipa Rodrigues PhD Collaborator
Maria Fernandes PhD Collaborator
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André Santana Collaborator
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Andreia Martins Collaborator
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Francisca Ayres Ribeiro Collaborator
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Maryam Lotfi Collaborator
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Catarina Pereira PhD Student
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Diana Sousa PhD Student
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Diogo Soares PhD Student
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Duarte Saraiva PhD Student
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Eduardo Castanho PhD Student
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Eleonora Auletta PhD Student
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Filomena Sacomboia PhD Student
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João Pedro Mendes PhD Student
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Marta Silva PhD Student
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Matilde Pato PhD Student
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Pedro Ruas PhD Student
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Pedro Cotovio PhD Student
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Pedro Barbosa PhD Student
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Ricardo Carvalho PhD Student
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Rita Sousa PhD Student
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Sofia Conceição PhD Student
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Susana Nunes PhD Student
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Afonso Seguro MSc Student
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Alexandre Fernandes MSc Student
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Ana Tam MSc Student
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André Mendes MSc Student
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Beatriz Bernadino MSc Student
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Catarina Canastra MSc Student
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Catarina Amorim MSc Student
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Christopher Anaya MSc Student
Cláudia Afonso MSc Student
David Conceição MSc Student
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Filipe Paulino MSc Student
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Filipe Santos MSc Student
Francisco Vicente MSc Student
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Francisco Caldeira MSc Student
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Hugo Figueiras MSc Student
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Hugo Rocha MSc Student
Inês Marcelino MSc Student
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Isabel Trancoso MSc Student
João Fernandes MSc Student
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João Lourenço MSc Student
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João Pedro Ferreira MSc Student
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José Oliveira MSc Student
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Laura Balbi MSc Student
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Leonor Miranda MSc Student
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Madalena Girão MSc Student
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Madalena Gil MSc Student
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Matilde Carvalho MSc Student
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Natércia Soeiro MSc Student
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Nuno Silva MSc Student
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Rafaela Lopes MSc Student
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Ricardo Santos MSc Student
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Tiago Duarte MSc Student
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Filipe Marques Undergraduate Student
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Filipe Dávila Fernandes Undergraduate Student

ONGOING

Acronym Title Funding Entity Start Date End Date
HfPT HfPT - Health from Portugal PRR- Portuguese Resilience and Recovery Plan 01/02/2023 31/12/2025
BRAINTEASER BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis EU H2020 01/01/2021 31/12/2024
KATY Knowledge At the Tip of Your fingers: Clinical Knowledge for Humanity EU H2020 01/01/2021 31/12/2024
CIRCLES Controlling mIcRobiomes CircuLations for bEtter food Systems EU H2020 01/11/2018 31/10/2024
DKG Distributed Knowledge Graphs COST ACTION 23/09/2020 22/09/2024
THOR Computer Assisted Thoracic Assessment using POCUS FCT 01/03/2021 29/02/2024
DL-CADET Deep multimodal Learning for breast CAncer DETection FCT 01/01/2022 30/12/2023

PAST

Acronym Title Funding Entity Start Date End Date
AWESOME Awareness While Experiencing and Surfing On Movies through Emotions FCT 01/10/2018 30/09/2022
BINDER Improving Bio-Inspired Deep Learning for Radiomics FCT 01/10/2018 30/07/2022
iCare4U Decision support system for personalized medicine in ICUs FCT 01/06/2018 31/05/2022
PREDICT Personalized therapy for RhEumatic DIseases via machine learning FCT 01/01/2019 31/12/2021
SMiLax Semantic Mining with Linked Data FCT 01/07/2016 31/12/2020
NEUROCLINOMICS2 Unravelling Prognostic Markers in NEUROdegenerative diseases through CLINical and OMICS data integration FCT 01/07/2016 31/03/2020
PERSEIDS PERSEIDS – PERSONALIZING CANCER THERAPY THROUGH INTEGRATED MODELING FCT 17/06/2016 16/12/2019
MIMED Mining the Molecular Metric Space for Drug Design FCT 01/06/2016 30/11/2019
RESISTIR Sistema de Informação para controlo de infecção inteligente e antibioterapia personalizada P2020 01/04/2016 01/04/2019
Acronym Short Description
VETA Tool that analyses the performance of several variant prediction methods at different levels.
KGsim-benchmark A collection of 21 benchmark data sets for large biomedical knowledge graphs similarity evaluation
PPRSSM A entity linking software based on Personalized PageRank using Semantic Similarity Measures
DiShIn A software package provides the basic functions to start using semantic similarity measures directly from a rdf or owl file
MER A Named-Entity Recognition tool which given any lexicon and any input text returns the list of terms recognized in the text, including their exact location
Genodedup GenoDedup is an algorithm that integrates efficient similarity-based deduplication and specialized delta-encoding for genome sequencing data
ChemRecSys ChemRecSys (Chemical Compounds Recommender System)
BiOnt BiOnt is a system to perform relation extraction using a deep learning system
Epidemiology Ontology Aims at increasing the amount of epidemiological data available, improving disease surveillance systems, and promoting the collaboration among epidemiological researchers
AgreementMakerLight An automated and efficient ontology matching system
NAMS A free Webtool to calculate similarity between molecules based on the structural/topological relationships of each atom towards all the others within a molecule
B3PP A web application that interfaces a machine learning model designed to predict the Blood-Brain Barrier penetration properties
DNA Privacy Detector A method that systematically detects privacy-sensitive DNA segments coming directly from an input stream
JDNA A referential compressor for aligned DNA files
Rankores Allows users to vote on news thus helping with their validation and taking advantage of social networks by sharing news we validate
Onde e quem vai ver An app that allow the user to browse, create and share the best events
O Mundo em Pessoa A collaboration project with Sapo Labs for the celebration of the 125th year of birth of Fernando Pessoa
Lusica A project of automatic collection of music quotes of Lusophone artists from the social networks
GIN 2.0 Devised to design primers within microbial species or genus as broad as possible, for PCR gene-screening projects
Missinks A web application that given a search query identifies the links in the first two pages of a given Google country search engine
CMPSim A web tool that implements a novel approach to measure the similarity between chemical compounds and metabolic pathays using semantic similarity
GRYFUN Allows the visualization, filtering and subsequent analysis of Gene Ontology (GO) annotation profiles
CESSM An online tool for the automated evaluation of GO-based semantic similarity measures
Therminfo A cheminformatics system designed and built with two main objectives in mind: collecting and retrieving critically evaluated thermochemical values, and estimating new data
ProteInOn A web tool focused on calculating GO-based protein semantic similarity
CIDS A user-friendly web tool that calculates different citation statistics
LASIGE is supported by FCT via projects UIDB/00408/2020 and UIDP/00408/2020

Faculdade de Ciências da Universidade de Lisboa
Departamento de Informática
Edifício C6 Piso 3 - Sala 6.3.30
Campo Grande - 1749 - 016 Lisboa, Portugal

lasige@ciencias.ulisboa.pt

(+351) 217 500 532

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