Search results for "EIV"

showing 10 items of 833 documents

Liquid biopsy as surrogate for tissue for molecular profiling in pancreatic cancer: A meta-analysis towards precision medicine

2019

Liquid biopsy (LB) is a non-invasive approach representing a promising tool for new precision medicine strategies for cancer treatment. However, a comprehensive analysis of its reliability for pancreatic cancer (PC) is lacking. To this aim, we performed the first meta-analysis on this topic. We calculated the pooled sensitivity, specificity, positive (LR+) and negative (LR-) likelihood ratio, and diagnostic odds ratio (DOR). A summary receiver operating characteristic curve (SROC) and area under curve (AUC) were used to evaluate the overall accuracy. We finally assessed the concordance rate of all mutations detected by multi-genes panels. Fourteen eligible studies involving 369 patients wer…

0301 basic medicineOncologymedicine.medical_specialtyCancer ResearchConcordanceprecision medicinepancreatic cancerReviewlcsh:RC254-282Circulating tumor cells (CTC)03 medical and health sciences0302 clinical medicineInternal medicinePancreatic cancermedicineLiquid biopsycfDNALiquid biopsyReceiver operating characteristicliquid biopsybusiness.industryCfDNAPrecision medicinePancreatic cancerPrecision medicinemedicine.diseaselcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens3. Good healthCancer treatment030104 developmental biologyOncologycirculating tumor cells (CTC)030220 oncology & carcinogenesisMeta-analysisDiagnostic odds ratiobusinesscfDNA; circulating tumor cells (CTC); liquid biopsy; pancreatic cancer; precision medicine
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Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning.

2021

Coronavirus disease 2019 (COVID-19) is a major threat worldwide due to its fast spreading. As yet, there are no established drugs available. Speeding up drug discovery is urgently required. We applied a workflow of combined in silico methods (virtual drug screening, molecular docking and supervised machine learning algorithms) to identify novel drug candidates against COVID-19. We constructed chemical libraries consisting of FDA-approved drugs for drug repositioning and of natural compound datasets from literature mining and the ZINC database to select compounds interacting with SARS-CoV-2 target proteins (spike protein, nucleocapsid protein, and 2′-o-ribose methyltransferase). Supported by…

0301 basic medicineSimeprevirArtificial intelligencevirusesMERS Middle East Respiratory SyndromeHealth InformaticsBiologyMachine learningcomputer.software_genremedicine.disease_causeAntiviral AgentsArticleWHO World Health OrganizationAUC area under the curve03 medical and health sciences0302 clinical medicinessRNA single-stranded RNA virusmedicineChemotherapyHumansSARS severe acute respiratory syndromeCOVID-19 coronavirus disease 2019CoronavirusNatural productsVirtual screeningACE2 angiotensin converting enzyme 2Drug discoverybusiness.industrySARS-CoV-2COVID-19LBE lowest binding energyFDA Food and Drug AdministrationROC receiver operating characteristicComputer Science ApplicationsHIV human immunodeficiency virusMolecular Docking SimulationDrug repositioning030104 developmental biologyDrug developmentSevere acute respiratory syndrome-related coronavirusParitaprevirInfectious diseasesRespiratory virusArtificial intelligenceSupervised Machine Learningbusinesscomputer030217 neurology & neurosurgeryComputers in biology and medicine
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Holistic Optimization of Bioinformatic Analysis Pipeline for Detection and Quantification of 2′-O-Methylations in RNA by RiboMethSeq

2020

International audience; A major trend in the epitranscriptomics field over the last 5 years has been the high-throughput analysis of RNA modifications by a combination of specific chemical treatment(s), followed by library preparation and deep sequencing. Multiple protocols have been described for several important RNA modifications, such as 5-methylcytosine (m5C), pseudouridine (ψ), 1-methyladenosine (m1A), and 2'-O-methylation (Nm). One commonly used method is the alkaline cleavage-based RiboMethSeq protocol, where positions of reads' 5'-ends are used to distinguish nucleotides protected by ribose methylation. This method was successfully applied to detect and quantify Nm residues in vari…

0301 basic medicinebioinformatic pipelinelcsh:QH426-470Computer scienceComputational biologyDeep sequencingPseudouridine03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]ribose methylationEpitranscriptomicsGeneticsGenetics (clinical)receiver operating characteristic2'-O-methylation2′-O-methylationhigh-throughput sequencingRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyBrief Research Reportlcsh:Genetics030104 developmental biologychemistry030220 oncology & carcinogenesisTransfer RNARNAMolecular MedicineSmall nuclear RNAReference genomeFrontiers in Genetics
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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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Automated Categorization of Parkinsonian Syndromes Using Magnetic Resonance Imaging in a Clinical Setting

2020

Background Machine learning algorithms using magnetic resonance imaging (MRI) data can accurately discriminate parkinsonian syndromes. Validation in patients recruited in routine clinical practice is missing. Objective The aim of this study was to assess the accuracy of a machine learning algorithm trained on a research cohort and tested on an independent clinical replication cohort for the categorization of parkinsonian syndromes. Methods Three hundred twenty-two subjects, including 94 healthy control subjects, 119 patients with Parkinson's disease (PD), 51 patients with progressive supranuclear palsy (PSP) with Richardson's syndrome, 35 with multiple system atrophy (MSA) of the parkinsoni…

0301 basic medicinemedicine.medical_specialtyParkinson's diseaseParkinson's diseasemultiple system atrophyProgressive supranuclear palsyDiagnosis Differential03 medical and health sciences0302 clinical medicinePhysical medicine and rehabilitationParkinsonian DisordersmedicineHumansmultimodal magnetic resonance imagingReceiver operating characteristicmedicine.diagnostic_testbusiness.industryParkinsonismMagnetic resonance imagingprogressive supranuclear palsymedicine.diseaseMagnetic Resonance Imaging3. Good healthnervous system diseasesmachine learning algorithm030104 developmental biologyDiffusion Tensor ImagingNeurologyCategorizationnervous systemCohort[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]Neurology (clinical)Supranuclear Palsy Progressivebusiness030217 neurology & neurosurgeryDiffusion MRI
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Validation of the Sepsis MetaScore for Diagnosis of Neonatal Sepsis

2016

What’s known on this subject Neonates are at increased risk for developing sepsis, but this population often exhibits ambiguous clinical signs that complicate the diagnosis of infection. No biomarker has yet shown enough diagnostic accuracy to rule out sepsis at the time of clinical suspicion. What this study adds We show that a gene-expression-based signature is an accurate objective measure of the risk of sepsis in a neonate or preterm infant, and it substantially improves diagnostic accuracy over that of commonly used laboratory-based testing. Implementation might decrease inappropriate antibiotic use. Background Neonatal sepsis can have devastating consequences, but accurate diagnosis i…

0301 basic medicinemedicine.medical_specialtyPopulationSepsis03 medical and health sciences0302 clinical medicinePredictive Value of Tests030225 pediatricsDrug Resistance BacterialmedicineHumansIntensive care medicineeducationRetrospective Studieseducation.field_of_studyNeonatal sepsisReceiver operating characteristicClinical Laboratory Techniquesbusiness.industryRetrospective cohort studyOriginal ArticlesGeneral Medicinemedicine.diseaseAnti-Bacterial Agents030104 developmental biologyInfectious DiseasesROC CurvePredictive value of testsPediatrics Perinatology and Child HealthCohortBiomarker (medicine)Neonatal SepsisTranscriptomebusinessJournal of the Pediatric Infectious Diseases Society
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Neither Cathodal nor Anodal Transcranial Direct Current Stimulation on the Left Dorsolateral Prefrontal Cortex alone or Applied During Moderate Aerob…

2020

There is converging evidence that both aerobic exercise (AE) and transcranial direct current stimulation (tDCS) can acutely modulate executive functions (EF). In addition, recent studies have proposed the beneficial effects of applying tDCS during AE on physical performance. This study aimed to investigate whether tDCS applied during an AE session additionally or differently effects EF. Therefore, five experiments were conducted in a counterbalanced pre-post-retention crossover design to explore the acute effects of tDCS and AE on EF (inhibition and updating) once in isolation (i.e., either cathodal, anodal tDCS or AE alone as controls) and once in a combined application (i.e., anodal and c…

0301 basic medicinemedicine.medical_specialtyTranscranial direct-current stimulationbusiness.industryGeneral Neurosciencemedicine.medical_treatmentPrefrontal CortexPhysical exercisePerceived exertionAudiologyNeuropsychological TestsExecutive functionsTranscranial Direct Current StimulationCrossover study03 medical and health sciencesExecutive Function030104 developmental biology0302 clinical medicineHeart ratemedicineAerobic exerciseAnalysis of variancebusinessExercise030217 neurology & neurosurgeryNeuroscience
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Development and Validation of a New Clinical Prediction Model of Catheter-Related Thrombosis Based on Vascular Ultrasound Diagnosis in Cancer Patients

2020

Background: Central venous catheters are convenient for drug delivery and improved comfort for cancer patients, but they also cause serious complications. The most common complication is catheter-related thrombosis (CRT). Objectives: This study aimed to evaluate the incidence and risk factors for CRT in cancer patients and develop an effective prediction model for CRT in cancer patients. Methods: The development of our prediction model was based on a retrospective cohort (n = 3,131) from the National Cancer Center. Our prediction model was confirmed in a prospective cohort from the National Cancer Center (n = 685) and a retrospective cohort from the Hunan Cancer Hospital (n = 61). The predi…

0301 basic medicinemedicine.medical_specialtylcsh:Diseases of the circulatory (Cardiovascular) systemMultivariate analysis030204 cardiovascular system & hematologyCardiovascular Medicinecathetersnomogram03 medical and health sciences0302 clinical medicineInternal medicinemedicinecancerRisk factorProspective cohort studythrombosisOriginal ResearchReceiver operating characteristicbusiness.industryCancerRetrospective cohort studyNomogrammedicine.disease030104 developmental biologyrisk factorlcsh:RC666-701CohortCardiology and Cardiovascular MedicinebusinessFrontiers in Cardiovascular Medicine
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Sweeteners and sweetness enhancers

2017

indexation en cours; PURPOSE OF REVIEW: The current review summarizes and discusses current knowledge on sweeteners and sweetness enhancers. RECENT FINDINGS: The perception of sweet taste is mediated by the type 1 taste receptor 2 (T1R2)/type 1 taste receptor 3 (T1R3) receptor, which is expressed in the oral cavity, where it provides input on the caloric and macronutrient contents of ingested food. This receptor recognizes all the compounds (natural or artificial) perceived as sweet by people. Sweeteners are highly chemically diverse including natural sugars, sugar alcohols, natural and synthetic sweeteners, and sweet-tasting proteins. This single receptor is also the target for developing …

0301 basic medicineobesitysweetener[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionreceiverMedicine (miscellaneous)PharmacologyOral cavityReceptors G-Protein-Coupled03 medical and health sciencesSugar AlcoholsTaste receptorgoût sucréDietary CarbohydratesAnimalsHumansSteviaMedicinesweet taste receptorNutrition and Dieteticsbusiness.industrydigestive oral and skin physiologyTaste Perceptionfood and beveragesSweet tasteSweetnessobésité030104 developmental biologycarbohydrateSweetening AgentsTastebusinessrécepteur[SDV.AEN]Life Sciences [q-bio]/Food and Nutritiondiabète
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Colour as a driver of Pinot noir wine quality judgments: An investigation involving French and New Zealand wine professionals

2016

Despite anecdotal reports suggesting an influence of perceived wine colour on wine professionals’ judgments of wine intrinsic quality, there is a lack of empirical evidence on the phenomenon. The major aim of the present study was to investigate the importance of perceived colour as a driver of chemosensory judgments of Pinot noir wines including sensory evaluations of quality and typicality. Twenty-three French and 23 New Zealand (NZ) wine professionals judged Pinot noir wines from France and NZ on a range of attributes including perceived colour (hue, intensity, and brightness), varietal characteristics, and overall wine quality. The wines were evaluated in both standard clear glassware w…

0301 basic medicinevin de cepagecolourmedia_common.quotation_subject[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionwine professionalssensory03 medical and health sciencesPerceived quality0404 agricultural biotechnologyFood and NutritionQuality (business)media_commonWine030109 nutrition & dieteticsNutrition and Dieteticscolour;quality;pinot noir wine;sensory;wine professionalsAdvertising04 agricultural and veterinary sciences040401 food sciencequalitypinot noir wineAlimentation et NutritionWine tastingPsychology[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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