Search results for "Biomedical"

showing 10 items of 2328 documents

Time-kill assays of amphotericin B plus anidulafungin against Candida tropicalis biofilms formed on two different biomaterials.

2017

Purpose: To determine the fungicidal activity by time-killing assays of amphotericin B (AMB) combined with anidulafungin (ANF) against biofilms of 2 clinical isolates of Candida tropicalis and the reference strain ATCC® 750, developed on polytetrafluoroethylene (PTFE) and titanium, using the CDC Biofilm Reactor (CBR) as an in vitro model. Methods: Biofilms were developed for 24 hours on the disk surfaces and then exposed to AMB (40 mg/L), ANF (8 mg/L), alone and combined. At predetermined time points after drug exposure, biofilms were removed from the disk surface by vortexing-sonication to quantify viable biofilm cells. Results: Drug activity was dependent on strain and time. After exposur…

0301 basic medicineAntifungalmedicine.drug_class030106 microbiologyBiomedical EngineeringMedicine (miscellaneous)BioengineeringAnidulafunginMicrobiologyBiomaterialsCandida tropicalis03 medical and health sciencesAmphotericin BAmphotericin BmedicineCandida tropicalisTitaniumbiologyStrain (chemistry)ChemistryBiofilmBiomaterialGeneral Medicinebiology.organism_classificationBiofilmsAnidulafunginPTFEAntagonismmedicine.drugThe International journal of artificial organs
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Culture into perfusion-assisted bioreactor promotes valve-like tissue maturation of recellularized pericardial membrane

2020

Derivation of tissue-engineered valve replacements is a strategy to overcome the limitations of the current valve prostheses, mechanical, or biological. In an effort to set living pericardial material for aortic valve reconstruction, we have previously assessed the efficiency of a recellularization strategy based on a perfusion system enabling mass transport and homogenous distribution of aortic valve-derived “interstitial” cells inside decellularized pericardial material. In the present report, we show that alternate perfusion promoted a rapid growth of valve cells inside the pericardial material and the activity of a proliferation-supporting pathway, likely controlled by the YAP transcrip…

0301 basic medicineAortic valvelcsh:Diseases of the circulatory (Cardiovascular) systemCardiovascular Medicine030204 cardiovascular system & hematologyProtein contentBiomaterials03 medical and health sciences0302 clinical medicineBioreactormedicinePericardiumEngineered tissueOriginal ResearchDecellularizationChemistryPerfusion systemBiomaterialValve interstitial cell030104 developmental biologymedicine.anatomical_structureMembranelcsh:RC666-701Valve implantCardiology and Cardiovascular MedicinePerfusionPericardiumBiomedical engineering
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Risk Assessment of Hip Fracture Based on Machine Learning

2020

[EN] Identifying patients with high risk of hip fracture is a great challenge in osteoporosis clinical assessment. Bone Mineral Density (BMD) measured by Dual-Energy X-Ray Absorptiometry (DXA) is the current gold standard in osteoporosis clinical assessment. However, its classification accuracy is only around 65%. In order to improve this accuracy, this paper proposes the use of Machine Learning (ML) models trained with data from a biomechanical model that simulates a sideways-fall. Machine Learning (ML) models are models able to learn and to make predictions from data. During a training process, ML models learn a function that maps inputs and outputs without previous knowledge of the probl…

0301 basic medicineArticle SubjectProcess (engineering)Computer scienceQH301-705.5INGENIERIA MECANICAmedia_common.quotation_subjectOsteoporosisBiomedical EngineeringMedicine (miscellaneous)030209 endocrinology & metabolismBioengineeringMachine learningcomputer.software_genreRisk AssessmentMachine Learning03 medical and health sciencesHip Fracture0302 clinical medicinemedicine03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesSensitivity (control systems)Biology (General)media_commonHip fractureVariablesbusiness.industryGold standard (test)medicine.diseaseRandom forest030104 developmental biologyArtificial intelligenceRisk assessmentbusinessLENGUAJES Y SISTEMAS INFORMATICOScomputerTP248.13-248.65Research ArticleBiotechnologyApplied Bionics and Biomechanics
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Clinical and molecular diagnosis, screening and management of Beckwith-Wiedemann syndrome: An international consensus statement

2018

Beckwith-Wiedemann syndrome (BWS), a human genomic imprinting disorder, is characterized by phenotypic variability that might include overgrowth, macroglossia, abdominal wall defects, neonatal hypoglycaemia, lateralized overgrowth and predisposition to embryonal tumours. Delineation of the molecular defects within the imprinted 11p15.5 region can predict familial recurrence risks and the risk (and type) of embryonal tumour. Despite recent advances in knowledge, there is marked heterogeneity in clinical diagnostic criteria and care. As detailed in this Consensus Statement, an international consensus group agreed upon 72 recommendations for the clinical and molecular diagnosis and management …

0301 basic medicineBeckwith-Wiedemann SyndromeConsensusDNA Copy Number VariationsReproductive Techniques AssistedEndocrinology Diabetes and MetabolismLibrary science32 Biomedical and Clinical SciencesTranslational research030105 genetics & heredityPolymorphism Single NucleotideBildung03 medical and health sciencesRare DiseasesEndocrinologyPrenatal DiagnosisHumansMedicinemedia_common.cataloged_instancePediatric nephrologyChild growthEuropean union3202 Clinical Sciencesmedia_commonPediatricbusiness.industryEuropean researchExpert consensusDNA MethylationNeoplasms Germ Cell and EmbryonalNational health service3. Good healthMolecular Diagnostic Techniquesbusiness
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AMD3100: A Versatile Platform for CXCR4 Targeting 68 Ga-Based Radiopharmaceuticals

2016

International audience; CXCR4 is a G protein-coupled receptor (GPCR), which is overexpressed in numerous diseases, particularly in multiple cancers. Therefore, this receptor represents a valuable target for imaging and therapeutic purposes. Among the different approaches, which were developed for CXCR4 imaging, a CXCR4 antagonist biscyclam system (AMD3100, also called Mozobil), currently used in the clinic for the mobilization of hematopoietic stem cells, was radiolabeled with different radiometals such as 62Zn, 64Cu, 67Ga, or 99mTc. However, cyclam is not an ideal chelator for most of these radiometals, and could lead to the release of the radionuclide in vivo. In the current study, a new …

0301 basic medicineBenzylaminesReceptors CXCR4Biomedical EngineeringPharmaceutical ScienceGallium Radioisotopes[SDV.CAN]Life Sciences [q-bio]/CancerBioengineeringPharmacologyCyclamsCXCR4[ CHIM ] Chemical Sciences[ SDV.CAN ] Life Sciences [q-bio]/Cancer03 medical and health scienceschemistry.chemical_compound0302 clinical medicineHeterocyclic CompoundsIn vivoCyclamHumans[CHIM]Chemical SciencesMoietyReceptorG protein-coupled receptorPharmacologyCXCR4CXCR4 antagonistChemistryOrganic Chemistry3. Good health030104 developmental biology030220 oncology & carcinogenesisCancer researchStem cellBiotechnology
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Dextran-based therapeutic nanoparticles for hepatic drug delivery.

2016

Aim: Evaluation of dextran-based nanoparticles (DNP) as a drug delivery system to target myeloid cells of the liver. Materials & methods: DNP were synthesized and optionally PEGylated. Their toxicity and cellular uptake were studied in vitro. Empty and siRNA-carrying DNP were tested in vivo with regard to biodistribution and cellular uptake. Results: In vitro, DNP were taken up by cells of the myeloid lineage without compromising their viability. In vivo, empty and siRNA-carrying DNP distributed to the liver where a single treatment addressed approximately 70% of macrophages and dendritic cells. Serum parameters indicated no in vivo toxicity. Conclusion: DNP are multifunctional liver-s…

0301 basic medicineBiodistributionMaterials scienceCell SurvivalSurface PropertiesBiomedical EngineeringMedicine (miscellaneous)Antigens Differentiation Myelomonocyticchemical and pharmacologic phenomenaBioengineering02 engineering and technologyDevelopmentPharmacologyPolyethylene Glycols03 medical and health scienceschemistry.chemical_compoundMiceIn vivoAntigens CDAnimalsHumansGeneral Materials ScienceTissue DistributionParticle SizeRNA Small InterferingDrug CarriersMice Inbred BALB Corganic chemicalsMacrophageshemic and immune systemsDextransDendritic cell3T3 CellsDendritic Cells021001 nanoscience & nanotechnology030104 developmental biologyDextranRAW 264.7 CellschemistryLiverDrug deliveryToxicityPEGylationNanoparticles0210 nano-technologyDrug carrierNanomedicine (London, England)
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Deep learning in next-generation sequencing

2020

Highlights • Machine learning increasingly important for NGS. • Deep learning can improve many NGS applications.

0301 basic medicineBiomedical ResearchComputer scienceContext (language use)ComputerApplications_COMPUTERSINOTHERSYSTEMSReviewMachine learningcomputer.software_genre03 medical and health sciences0302 clinical medicineDeep LearningGene to ScreenDrug DiscoveryHumansPharmacologyFeature detection (web development)Network architectureArtificial neural networkbusiness.industryDeep learningHigh-Throughput Nucleotide SequencingMedical research030104 developmental biologyMetagenomics030220 oncology & carcinogenesisUnsupervised learningArtificial intelligenceMetagenomicsNeural Networks ComputerbusinesscomputerDrug Discovery Today
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Making sense of big data in health research: {T}owards an {EU} action plan

2016

Genome medicine 8(1), 71 (2016). doi:10.1186/s13073-016-0323-y

0301 basic medicineBiomedical ResearchDatabases FactualPREDICTIONComputer scienceBig data: Santé publique services médicaux & soins de santé [D22] [Sciences de la santé humaine]XXBioinformaticsBases de dadesSYSTEMS MEDICINE0302 clinical medicineINFORMATICSCultural diversityHealth careGenetics(clinical)030212 general & internal medicineGenetics (clinical)media_commonGenetics & HeredityExabyteCHALLENGESMacrodadesCANCER3. Good healthAction planMolecular MedicineErratumLife Sciences & BiomedicineMedical GeneticsOpinion: Public health health care sciences & services [D22] [Human health sciences]MedicinaInformation DisseminationMECHANISMS03 medical and health sciencesFUTUREJournal ArticleGeneticsmedia_common.cataloged_instanceHumansKNOWLEDGEEuropean UnionEuropean unionMolecular BiologyMedicinsk genetik0604 GeneticsScience & Technologybusiness.industryInformation DisseminationHealth Plan Implementation1103 Clinical SciencesCAREData scienceData sharing030104 developmental biologyUNDIAGNOSED DISEASES NETWORKbusiness
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Polyphosphate as a metabolic fuel in Metazoa: A foundational breakthrough invention for biomedical applications

2015

In animals, energy-rich molecules like ATP are generated in the intracellular compartment from metabolites, e.g. glucose, taken up by the cells. Recent results revealed that inorganic polyphosphates (polyP) can provide an extracellular system for energy transport and delivery. These polymers of multiple phosphate units, linked by high-energy phosphoanhydride bonds, use blood platelets as transport vehicles to reach their target cells. In this review it is outlined how polyP affects cell metabolism. It is discussed that polyP influences cell activity in a dual way: (i) as a metabolic fuel transferring metabolic energy through the extracellular space; and (ii) as a signaling molecule that amp…

0301 basic medicineBiomedical TechnologyMitochondrionBiologyEndocytosisApplied Microbiology and Biotechnology03 medical and health scienceschemistry.chemical_compoundAdenosine TriphosphateTissue engineeringPolyphosphatesExtracellularHumansBlood CellsPolyphosphateGeneral MedicineCell biologyMitochondriaMetabolic pathway030104 developmental biologychemistryBiochemistryMolecular MedicineNanoparticlesAdenosine triphosphateIntracellularMetabolic Networks and PathwaysBiotechnology Journal
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Comparison of platelet function tests for the in vitro quality assessment of platelet concentrates produced under real-life conditions.

2018

Platelet quality in different platelet concentrates (PCs) has been the subject of several studies. Nonetheless, there is a lack of robust data on the correlation and agreement among platelet function tests as a prerequisite for the association of PC functionality in vitro with platelet function in vivo post PC transfusion. The purpose of our study was to correlate a larger panel of platelet function assays in PCs and to assess whether the methods agree sufficiently and can be used interchangeably. Twelve apheresis platelet concentrates in plasma (APC), 16 pooled platelet concentrates in plasma (PPC), and 12 PPC in T-sol (PPCA) were examined on days 1 and 4 after production. PCs were tested …

0301 basic medicineBlood PlateletsPlatelet Function TestsQuality assessmentbusiness.industryPlatelet Countmedia_common.quotation_subjectmacromolecular substancesHematologyGeneral Medicine030204 cardiovascular system & hematologyIn Vitro Techniqueshumanities03 medical and health sciences030104 developmental biology0302 clinical medicinePlatelet function testMedicineHumansQuality (business)Plateletbusinessmedia_commonBiomedical engineeringPlatelets
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