2024
Secure discovery of genetic relatives across large-scale and distributed genomic datasets
Hong M, Froelicher D, Magner R, Popic V, Berger B, Cho H. Secure discovery of genetic relatives across large-scale and distributed genomic datasets. Genome Research 2024, 34: gr.279057.124. PMID: 39111815, PMCID: PMC11529841, DOI: 10.1101/gr.279057.124.Peer-Reviewed Original ResearchMultiparty homomorphic encryptionIdentity-by-descentEffective hash functionsGenomic datasetsHomomorphic encryptionHash functionPrivate dataFederated algorithmBucketing strategyData holdersData silosDegree of relatednessRelation detectionGenetic relationEfficient algorithmMultiple entitiesRelatedness coefficientsPairs of individualsGenomic studiesDatasetIdentification of relationsRuntimeGenetic sequencesAccurate detectionAlgorithm
2023
Digital assay for rapid electronic quantification of clinical pathogens using DNA nanoballs
Tayyab M, Barrett D, van Riel G, Liu S, Reinius B, Scharfe C, Griffin P, Steinmetz L, Javanmard M, Pelechano V. Digital assay for rapid electronic quantification of clinical pathogens using DNA nanoballs. Science Advances 2023, 9: eadi4997. PMID: 37672583, PMCID: PMC10482329, DOI: 10.1126/sciadv.adi4997.Peer-Reviewed Original ResearchConceptsMicrofluidic impedance cytometerDNA nanoballsLabel-free assayColorimetric readoutImpedance cytometerDigital assaysLoop-mediated isothermal amplificationCapillary-driven flowNanoballsDNA detectionStandalone deviceDNA/RNAIsothermal amplificationCompact systemNucleic acidsClinical pathogensPathogen identificationAccurate detectionRapid testReadoutDetectionNovel methodImpedanceMeta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
Zhou B, Xia Y, Yao J, Lu L, Zhou J, Liu C, Duncan J, Zhang L. Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. Lecture Notes In Computer Science 2023, 13939: 119-131. DOI: 10.1007/978-3-031-34048-2_10.Peer-Reviewed Original ResearchFull taxonomyInitial feature extractionGlobal contextual informationPatient-level classificationSemantic segmentationFeature extractionClass labelsTransformer blocksManual annotationContextual informationSegmentation pathSegmentationAccurate classificationPrevious baselineFeasibility of classificationCT datasetsMulti-phase CTPatient informationWork focusAccurate detectionClassificationModel performanceDisease diagnosisPrevious workCNN
2022
Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings
Oshim F, Surti T, Goldfine C, Carreiro S, Ganesan D, Jayasuriya S, Rahman T. Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings. 2022, 00: 1-4. DOI: 10.1109/sensors52175.2022.9967051.Peer-Reviewed Original ResearchEulerian phaseFundamental frequency estimationMachine learning modelsFrequency estimationVital sign estimationMotion magnificationFilter outputSubtle motionsVital sign monitoringLearning modelHuman postureWavelength levelGabor filter outputsNoisy environmentsSign estimationDecomposition methodSmall objectsAccurate detectionMotionRadarMotion signalsEstimationGreater accuracyPhaseFFT
2017
Early tumor detection afforded by in vivo imaging of near-infrared II fluorescence
Tao Z, Dang X, Huang X, Muzumdar MD, Xu ES, Bardhan NM, Song H, Qi R, Yu Y, Li T, Wei W, Wyckoff J, Birrer MJ, Belcher AM, Ghoroghchian PP. Early tumor detection afforded by in vivo imaging of near-infrared II fluorescence. Biomaterials 2017, 134: 202-215. PMID: 28482280, DOI: 10.1016/j.biomaterials.2017.04.046.Peer-Reviewed Original ResearchConceptsExogenous contrast agentsLanthanide nanoparticlesUnique nanoparticlesBiodegradable diblock copolymerRed fluorescent proteinOptical signalNIR-IINanoparticlesOVCAR-8 ovarian cancer cellsTumor accumulationTissue autofluorescenceOrganic fluorophoresContrast agentsTissue penetrationEarly tumor detectionFluorescent agentsOptical excitationEnhanced sensitivityIntrinsic reporterFluorescent proteinAccurate detectionNIRTumor detectionLuciferaseDiblock copolymers
2009
Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost Reconstruction of Structural Variants
Du J, Bjornson RD, Zhang ZD, Kong Y, Snyder M, Gerstein MB. Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost Reconstruction of Structural Variants. PLOS Computational Biology 2009, 5: e1000432. PMID: 19593373, PMCID: PMC2700963, DOI: 10.1371/journal.pcbi.1000432.Peer-Reviewed Original ResearchConceptsDifferent read lengthsDifferent technologiesSemi-realistic simulationComputational complexityMaximum accuracyAssembly algorithmReconstruction efficiencySimulation toolboxPersonal genomicsAccurate detectionLow costChallenging stepTechnologyCostAlgorithmAccurate assemblyComplexitySmall enough scalesReconstructionGoalIndividual genomesCanonical problemImportant goalToolboxSimulations
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply