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- Catanuto, G., et al.
(author)
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Text mining and word embedding for classification of decision making variables in breast cancer surgery
- 2022
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In: European Journal of Surgical Oncology. - : Elsevier. - 0748-7983 .- 1532-2157. ; 48:7, s. 1503-1509
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Journal article (peer-reviewed)abstract
- IntroductionDecision making in surgical oncology of the breast has increased its complexity over the last twenty years.This Delphi survey investigates the opinion of an expert panel about the decision making process in surgical procedures on the breast for oncological purposes.MethodsTwenty-seven experts were invited to partake into a Delphi Survey. At the first round they have been asked to provide a list of features involved in the decision making process (patient's characteristics; disease characteristics; surgical techniques, outcomes) and comment on it. Using text-mining techniques we extracted a list of mono-bi-trigrams potentially representative of decision drivers. A technique of “natural language processing” called Word2vec was used to validate changes to texts using synonyms and plesionyms. Word2Vec was also used to test the semantic relevance of n-grams within a corpus of knowledge made up of books edited by panel members. The final list of variables extracted was submitted to the judgement of the panel for final validation at the second round of the Delphi using closed ended questions.Results52 features out of 59 have been approved by the panel. The overall consensus was 87.1%ConclusionsText mining and natural language processing allowed the extraction of a number of decision drivers and outcomes as part of the decision making process in surgical oncology on the breast. This result was obtained transforming narrative texts into structured data. The high level of consensus among experts provided validation to this process.
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- Ciudad, S., et al.
(author)
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A beta(1-42) tetramer and octamer structures reveal edge conductivity pores as a mechanism for membrane damage
- 2020
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 11:1
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Journal article (peer-reviewed)abstract
- Formation of amyloid-beta (A beta) oligomer pores in the membrane of neurons has been proposed to explain neurotoxicity in Alzheimers disease (AD). Here, we present the three-dimensional structure of an A beta oligomer formed in a membrane mimicking environment, namely an A beta(1-42) tetramer, which comprises a six stranded beta-sheet core. The two faces of the beta-sheet core are hydrophobic and surrounded by the membrane-mimicking environment while the edges are hydrophilic and solvent-exposed. By increasing the concentration of A beta(1-42) in the sample, A beta(1-42) octamers are also formed, made by two A beta(1-42) tetramers facing each other forming a beta-sandwich structure. Notably, A beta(1-42) tetramers and octamers inserted into lipid bilayers as well-defined pores. To establish oligomer structure-membrane activity relationships, molecular dynamics simulations were carried out. These studies revealed a mechanism of membrane disruption in which water permeation occurred through lipid-stabilized pores mediated by the hydrophilic residues located on the core beta-sheets edges of the oligomers.
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3. |
- McGinn, Steven, et al.
(author)
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New Technologies for DNA analysis-A review of the READNA Project.
- 2016
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In: New Biotechnology. - : Elsevier BV. - 1876-4347 .- 1871-6784.
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Research review (peer-reviewed)abstract
- The REvolutionary Approaches and Devices for Nucleic Acid analysis (READNA) project received funding from the European Commission for 4 1/2 years. The objectives of the project revolved around technological developments in nucleic acid analysis. The project partners have discovered, created and developed a huge body of insights into nucleic acid analysis, ranging from improvements and implementation of current technologies to the most promising sequencing technologies that constitute a 3(rd) and 4(th) generation of sequencing methods with nanopores and in situ sequencing, respectively.
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