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Your search keyword '"Bucur, Anca"' showing total 15 results
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15 results on '"Bucur, Anca"'

1. CARDIOCARE platform: A beyond the state of the art approach for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity*

Author

Tsiouris, Kostas M., primary, Kalliatakis, Grigoris, additional, Mazzocco, Ketti, additional, Šeruga, Bostjan, additional, Marias, Kostas, additional, Karanasiou, Georgia, additional, Antoniades, Athos, additional, Papakonstantinou, Andri, additional, Conti, Constanza, additional, Tsiknakis, Manolis, additional, Sfakianakis, Stelios, additional, Lakkas, Lampros, additional, Filippatos, Gerasimos, additional, Bucur, Anca, additional, Fotiadis, Dimitrios I., additional, Manikis, George, additional, Mauri, Davide, additional, Constantinidou, Anastasia, additional, and Pacella, Elsa, additional

Published
2023
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2. iManageCancer: Developing a Platform for Empowering Patients and Strengthening Self-Management in Cancer Diseases

Author

Kondylakis, Haridimos, primary, Bucur, Anca, additional, Dong, Feng, additional, Renzi, Chiara, additional, Manfrinati, Andrea, additional, Graf, Norbert, additional, Hoffman, Stefan, additional, Koumakis, Lefteris, additional, Pravettoni, Gabriella, additional, Marias, Kostas, additional, Tsiknakis, Manolis, additional, and Kiefer, Stephan, additional

Published
2017
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5. Computational horizons in cancer (CHIC): Developing meta- and hyper-multiscale models and repositories for in Silico Oncology - A brief technical outline of the project

Author

Stamatakos, G., primary, Dionysiou, Dimitra, additional, Misichroni, Fay, additional, Graf, Norbert, additional, van Gool, Stefaan, additional, Bohle, Rainar, additional, Dong, Feng, additional, Viceconti, Marco, additional, Marias, Kostas, additional, Sakkalis, Vangelis, additional, Forgo, Nikolaus, additional, Radhakrishnan, Ravi, additional, Byrne, Helen, additional, Guiot, Caterina, additional, Buechler, Philippe, additional, Neri, Elias, additional, Bucur, Anca, additional, de Bono, Bernard, additional, Testi, Debora, additional, and Tsiknakis, Manolis, additional

Published
2014
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6. Analysis of the Suitability of Existing Medical Ontologies for Building a Scalable Semantic Interoperability Solution Supporting Multi-site Collaboration in Oncology

Author

Ibrahim, Ahmed, primary, Bucur, Anca, additional, Dekker, Andre, additional, Marshall, M. Scott, additional, Perez-Rey, David, additional, Alonso-Calvo, Raul, additional, Stenzhorn, Holger, additional, Yu, Sheng, additional, Krykwinski, Cyril, additional, Laarif, Anouar, additional, and Mehta, Keyur, additional

Published
2014
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13. Semantic Normalization and Query Abstraction Based on SNOMED-CT and HL7: Supporting Multicentric Clinical Trials.

Author

Paraiso-Medina, Sergio, Perez-Rey, David, Bucur, Anca, Claerhout, Brecht, and Alonso-Calvo, Raul

Subjects
SEMANTIC computing, QUERYING (Computer science), ABSTRACTING, DATA integration, INFORMATION retrieval research, MEDICAL informatics
Abstract

Advances in the use of omic data and other biomarkers are increasing the number of variables in clinical research. Additional data have stratified the population of patients and require that current studies be performed among multiple institutions. Semantic interoperability and standardized data representation are a crucial task in the management of modern clinical trials. In the past few years, different efforts have focused on integrating biomedical information. Due to the complexity of this domain and the specific requirements of clinical research, the majority of data integration tasks are still performed manually. This paper presents a semantic normalization process and a query abstraction mechanism to facilitate data integration and retrieval. A process based on well-established standards from the biomedical domain and the latest semantic web technologies has been developed. Methods proposed in this paper have been tested within the EURECA EU research project, where clinical scenarios require the extraction of semantic knowledge from biomedical vocabularies. The aim of this paper is to provide a novel method to abstract from the data model and query syntax. The proposed approach has been compared with other initiatives in the field by storing the same dataset with each of those solutions. Results show an extended functionality and query capabilities at the cost of slightly worse performance in query execution. Implementations in real settings have shown that following this approach, usable interfaces can be developed to exploit clinical trial data outcomes. [ABSTRACT FROM PUBLISHER]

Published
2015
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14. Formalization of clinical trial eligibility criteria: Evaluation of a pattern-based approach.

Author

Miliari, Krystyna, Bucur, Anca, and Ten Teije, Annette

Abstract

The semi-automatic evaluation of eligibility criteria can facilitate the recruitment for clinical trials, timely completion of studies and generation of clinical evidence about new approaches to treatment, prevention and diagnosis. Because eligibility criteria are represented as free text, automatically extracting their meaning and evaluating them for a particular patient is challenging. This paper presents our approach to the problem of automatic interpretation of criteria meaning. It is based on detecting in text semantic entities (diseases, treatment, measurements etc.) using ontology annotators and semantic taggers, and detecting predefined patterns providing the contextual information in which these entities occur. Evaluation of the approach is the main subject of the paper. It covers several aspects: precision and recall of the pattern detection algorithm and the assessment of the implications of using the identified patterns to find potential candidates. It was performed manually using a subset of patterns and randomly selected 33 trials from ClinicalTrials.gov. The average precision and recall of pattern detection algorithm calculated for selected patterns is 0.9 and 0.91, meaning that in most cases using the patterns can lead to correct interpretation of criteria and can support patient recruitment. [ABSTRACT FROM PUBLISHER]

Published
2012
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15. Alignment Method for Spectrograms of DNA Sequences.

Author

Bucur, Anca, van Leeuwen, Jasper, Dimitrova, Nevenka, and Mittal, Chetan

Subjects
SPECTROGRAMS, DNA, NUCLEOTIDES, NUCLEOTIDE sequence, FOURIER transforms
Abstract

DNA spectrograms express the periodicities of each of the four nucleotides A, T, C, and G in one or several genomic sequences to be analyzed. DNA spectral analysis can be applied to systematically investigate DNA patterns, which may correspond to relevant biological features. As opposed to looking at nucleotide sequences, spectrogram analysis may detect structural characteristics in very long sequences that are not identifiable by sequence alignment. Alignment of DNA spectrograms can be used to facilitate analysis of very long sequences or entire genomes at different resolutions. Standard clustering algorithms have been used in spectral analysis to find strong patterns in spectra. However, as they use a global distance metric, these algorithms can only detect strong patterns coexisting in several frequencies. In this paper, we propose a new method and several algorithms for aligning spectra suitable for efficient spectral analysis and allowing for the easy detection of strong patterns in both single frequencies and multiple frequencies. [ABSTRACT FROM AUTHOR]

Published
2010
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