Search results for "Medical Informatics"

showing 10 items of 359 documents

Selection of the Optimal Algorithm for Real-Time Estimation of Beta Band Power during DBS Surgeries in Patients with Parkinson's Disease

2017

Deep Brain Stimulation (DBS) is a surgical procedure for the treatment of motor disorders in patients with Parkinson’s Disease (PD). DBS involves the application of controlled electrical stimuli to a given brain structure. The implantation of the electrodes for DBS is performed by a minimally invasive stereotactic surgery where neuroimaging and microelectrode recordings (MER) are used to locate the target brain structure. The Subthalamic Nucleus (STN) is often chosen for the implantation of stimulation electrodes in DBS therapy. During the surgery, an intraoperative validation is performed to locate the dorsolateral region of STN. Patients with PD reveal a high power in the β band (frequenc…

0301 basic medicineMaleParkinson's diseaseDeep brain stimulationStereotactic surgeryTime FactorsGeneral Computer ScienceArticle SubjectGeneral Mathematicsmedicine.medical_treatmentDeep Brain StimulationElectroencephalographylcsh:Computer applications to medicine. Medical informaticsSignalNeurosurgical ProceduresStatistics Nonparametriclcsh:RC321-57103 medical and health sciences0302 clinical medicineNeuroimagingSubthalamic NucleusmedicineHumansPerioperative Periodlcsh:Neurosciences. Biological psychiatry. Neuropsychiatrymedicine.diagnostic_testFourier Analysisbusiness.industryGeneral NeuroscienceSpectral density estimationElectroencephalographyParkinson DiseaseGeneral Medicinemedicine.diseasenervous system diseasesSubthalamic nucleus030104 developmental biologysurgical procedures operativenervous systemlcsh:R858-859.7FemalebusinessBeta RhythmMicroelectrodes030217 neurology & neurosurgeryAlgorithmsBiomedical engineeringResearch ArticleComputational Intelligence and Neuroscience
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Data set of interactomes and metabolic pathways of proteins differentially expressed in brains with Alzheimer׳s disease

2016

Alzheimer's disease is one of the main causes of dementia in the elderly and its frequency is on the rise worldwide. It is considered the result of complex interactions between genetic and environmental factors, being many of them unknown. Therefore, there is a dire necessity for the identification of novel molecular players for the understanding of this disease. In this data article we determined the protein expression profiles of whole protein extracts from cortex regions of brains from patients with Alzheimer's disease in comparison to a normal brain. We identified 721 iTRAQ-labeled polypeptides with more than 95% in confidence. We analyzed all proteins that changed in their expression l…

0301 basic medicineMultidisciplinaryATP synthasebiologyComputational biologyDiseasemedicine.diseaseBioinformaticslcsh:Computer applications to medicine. Medical informaticsProtein expressionCortex (botany)03 medical and health sciencesMetabolic pathway030104 developmental biologymedicinebiology.proteinDementialcsh:R858-859.7Research articleKEGGlcsh:Science (General)lcsh:Q1-390Data ArticleData in Brief
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Data concerning the proteolytic resistance and oxidative stress in LAN5 cells after treatment with BSA hydrogels

2016

AbstractProteolytic resistance is a relevant aspect to be tested in the formulation of new nanoscale biomaterials. The action of proteolytic enzymes is a very fast process occurring in the range of few minutes. Here, we report data concerning the proteolytic resistance of a heat-set BSA hydrogel obtained after 20-hour incubation at 60°C prepared at the pH value of 3.9, pH at which the hydrogel presents the highest elastic character with respect to gel formed at pH 5.9 and 7.4 “Heat-and pH-induced BSA conformational changes, hydrogel formation and application as 3D cell scaffold” (G. Navarra, C. Peres, M. Contardi, P. Picone, P.L. San Biagio, M. Di Carlo, D. Giacomazza, V. Militello, 2016) […

0301 basic medicineProgrammed cell death?-aggregateschemistry.chemical_element02 engineering and technologyZinclcsh:Computer applications to medicine. Medical informaticsmedicine.disease_cause03 medical and health sciencesβ-aggregatemedicineCell-scaffoldlcsh:Science (General)Data Articlechemistry.chemical_classificationMultidisciplinarybiologyProteolytic enzymesOxidative StreHydrogels021001 nanoscience & nanotechnologyProteinase KCell-scaffolHydrogelβ-aggregatesOxidative Stress030104 developmental biologyEnzymechemistryBiochemistryDrug deliverySelf-healing hydrogelsDrug deliverybiology.proteinlcsh:R858-859.70210 nano-technologyProteolytic resistanceOxidative stresslcsh:Q1-390Data in Brief
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Automated selection of homologs to track the evolutionary history of proteins

2018

Background The selection of distant homologs of a query protein under study is a usual and useful application of protein sequence databases. Such sets of homologs are often applied to investigate the function of a protein and the degree to which experimental results can be transferred from one organism to another. In particular, a variety of databases facilitates static browsing for orthologs. However, these resources have a limited power when identifying orthologs between taxonomically distant species. In addition, in some situations, for a given query protein, it is advantageous to compare the sets of orthologs from different specific organisms: this recursive step-wise search might give …

0301 basic medicineProteomeComputer scienceComputational biologyWeb toollcsh:Computer applications to medicine. Medical informaticsBiochemistryHomology (biology)Evolution Molecular03 medical and health sciences0302 clinical medicineProtein sequencingStructural BiologyHomologous chromosomeHumansDatabases ProteinMolecular Biologylcsh:QH301-705.5OrganismProtein functionMethodology ArticleApplied MathematicsProteinsA proteinComputer Science ApplicationsHomologyEvolutionary path030104 developmental biologyComputingMethodologies_PATTERNRECOGNITIONlcsh:Biology (General)Proteomelcsh:R858-859.7DNA microarraySoftware030217 neurology & neurosurgeryBMC Bioinformatics
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Data for the identification of proteins and post-translational modifications of proteins associated to histones H3 and H4 in S. cerevisiae, using tan…

2016

Tandem affinity purification method (TAP) allows the efficient purification of native protein complexes which incorporate a target protein fused with the TAP tag. Purified multiprotein complexes can then be subjected to diverse types of proteomic analyses. Here we describe the data acquired after applying the TAP strategy on histones H3 and H4 coupled with mass spectrometry to identify associated proteins and protein post-translational modifications in the budding yeast, Saccharomyces cerevisiae. The mass spectrometry dataset described here consists of 14 files generated from four different analyses in a 5600 Triple TOF (Sciex) by information‐dependent acquisition (IDA) LC–MS/MS. The above …

0301 basic medicineProteomicsSaccharomyces cerevisiaeComputational biologyProteomicsMass spectrometrylcsh:Computer applications to medicine. Medical informaticsTandem affinity purificationHistones03 medical and health scienceslcsh:Science (General)Data ArticleTandem affinity purificationMultidisciplinaryChromatography030102 biochemistry & molecular biologybiologybiology.organism_classificationYeastChromatinYeastChromatin030104 developmental biologyHistonebiology.proteinlcsh:R858-859.7Target proteinlcsh:Q1-390Post-translational modificationsData in Brief
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Deep learning models for bacteria taxonomic classification of metagenomic data.

2018

Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till now it is hard to identify the correct composition of metagenomic data from RNA-seq short-read data. 16S short-read data are generated using two next generation sequencing technologies, i.e. whole genome shotgun (WGS) and amplicon (AMP); typically, the former is filtered to obtain short-reads belonging to a 16S shotgun (SG), whereas the latter take into account only some specific 16S hypervariable regions.…

0301 basic medicineTime FactorsDBNComputer scienceBiochemistryStructural BiologyRNA Ribosomal 16SDatabases Geneticlcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaShotgun sequencingApplied MathematicsAmpliconClassificationComputer Science Applicationslcsh:R858-859.7DNA microarrayShotgunAlgorithmsCNN030106 microbiologyk-mer representationlcsh:Computer applications to medicine. Medical informaticsDNA sequencing03 medical and health sciencesMetagenomicDeep LearningMolecular BiologyBacteriaModels GeneticPhylumbusiness.industryDeep learningResearchReproducibility of ResultsPattern recognitionBiological classification16S ribosomal RNAbiology.organism_classificationAmpliconHypervariable region030104 developmental biologyTaxonlcsh:Biology (General)MetagenomicsMetagenomeArtificial intelligenceMetagenomicsNeural Networks ComputerbusinessClassifier (UML)BacteriaBMC bioinformatics
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VISMapper: ultra-fast exhaustive cartography of viral insertion sites for gene therapy

2017

The possibility of integrating viral vectors to become a persistent part of the host genome makes them a crucial element of clinical gene therapy. However, viral integration has associated risks, such as the unintentional activation of oncogenes that can result in cancer. Therefore, the analysis of integration sites of retroviral vectors is a crucial step in developing safer vectors for therapeutic use. Here we present VISMapper, a vector integration site analysis web server, to analyze next-generation sequencing data for retroviral vector integration sites. VISMapper can be found at: http://vismapper.babelomics.org . Because it uses novel mapping algorithms VISMapper is remarkably faster t…

0301 basic medicineWeb serverVirus IntegrationGenetic enhancementGenetic VectorsContext (language use)Computational biologyBiologyGenoma humàlcsh:Computer applications to medicine. Medical informaticscomputer.software_genreBiochemistryGenome viewerViral vectorViral integrationUser-Computer Interface03 medical and health sciencesGene therapyStructural BiologySAFERViral insertionSequence mappingHumansUltra fastGens Mapatgelcsh:QH301-705.5Molecular BiologyGeneticsInternetBase SequenceApplied MathematicsHigh-Throughput Nucleotide SequencingGenetic Therapy3. Good healthComputer Science Applications030104 developmental biologylcsh:Biology (General)lcsh:R858-859.7Viral integrationDNA microarraycomputerSoftware
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Machine learning–XGBoost analysis of language networks to classify patients with epilepsy

2017

Our goal was to apply a statistical approach to allow the identification of atypical language patterns and to differentiate patients with epilepsy from healthy subjects, based on their cerebral activity, as assessed by functional MRI (fMRI). Patients with focal epilepsy show reorganization or plasticity of brain networks involved in cognitive functions, inducing ‘atypical’ (compared to ‘typical’ in healthy people) brain profiles. Moreover, some of these patients suffer from drug-resistant epilepsy, and they undergo surgery to stop seizures. The neurosurgeon should only remove the zone generating seizures and must preserve cognitive functions to avoid deficits. To preserve functions, one sho…

0301 basic medicinemedicine.medical_specialtyCognitive Neuroscience[SCCO.COMP]Cognitive science/Computer scienceAudiologyExtreme Gradient Boostinglcsh:Computer applications to medicine. Medical informaticsArticle03 medical and health sciencesEpilepsy0302 clinical medicineText miningMachine learningmedicineLanguagelcsh:Computer softwareEpilepsyCognitive mapReceiver operating characteristicbusiness.industryCognitionNeurophysiologymedicine.diseaseMLComputer Science ApplicationsStatistical classificationlcsh:QA76.75-76.765030104 developmental biologyNeurologyBinary classification[ SCCO.COMP ] Cognitive science/Computer sciencelcsh:R858-859.7Artificial intelligencePsychologybusiness030217 neurology & neurosurgeryAtypicalXGBoost
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Contenidos fundamentales de la Dermatología en el grado de medicina en España. Recomendaciones del grupo de profesores de la Academia Española de Der…

2016

Antecedentes: Los problemas dermatologicos constituyen uno de los motivos de consulta masfrecuentes en atencion primaria. En los ultimos a˜nos, como consecuencia de la adaptacion alespacio europeo de educacion superior, en muchos planes de estudios se ha reducido el tiempodestinado al aprendizaje de la dermatologia.Material y metodos:Para consensuar los contenidos basicos del programa de dermatologia enel pregrado, se remitio electronicamente una encuesta a los 57 miembros de grupo de profeso-res de la Academia Espa˜nola de Dermatologia y Venereologia para establecer cuales deberianser los objetivos de aprendizaje de la asignatura en Espa˜na. Se incluyeron 131 objetivos previa-mente selecci…

030207 dermatology & venereal diseases03 medical and health sciences0302 clinical medicine020205 medical informatics0202 electrical engineering electronic engineering information engineeringDermatologíaPregradoEducación MédicaContenidos fundamentales02 engineering and technologyGeneral MedicineMétodo Delphi
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Data on in vivo PGC-1alpha overexpression model via local transfection in aged mouse muscle

2018

The data presented in this article are related to the research paper entitled “Intensified mitophagy in skeletal muscle with aging is downregulated by PGC-1alpha overexpression in vivo” (Yeo et al., 2019). The data explained the surgical procedure of in vivo local transfection by electroporation method in aged mouse tibialis anterior muscle, and plasmid DNA preparation and verification protocol. The data also showed the transfection efficiency levels of GFP or GFP-tagged PGC-1alpha through immunohistochemistry method for frozen muscle cross-sections.

0303 health sciencesMultidisciplinaryChemistryElectroporationfungiSkeletal muscleTransfectionlcsh:Computer applications to medicine. Medical informaticsGreen fluorescent proteinCell biology03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureTibialis anterior muscleIn vivoBiochemistry Genetics and Molecular BiologyMitophagymedicinelcsh:R858-859.7Immunohistochemistrylcsh:Science (General)030217 neurology & neurosurgerylcsh:Q1-390030304 developmental biologyData in Brief
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