Zhangsheng Yu
Professor Adjunct of BiostatisticsCards
About
Research
Publications
2026
SurvSTAAR: A Powerful Statistical Framework for Rare Variant Analysis of Time-to-Event Traits in Large-Scale Whole-Genome Sequencing Studies
Cui Y, Ma S, Yuan Y, Zhu N, Chen H, Wei T, Li Z, Li X, Yu Z. SurvSTAAR: A Powerful Statistical Framework for Rare Variant Analysis of Time-to-Event Traits in Large-Scale Whole-Genome Sequencing Studies. Journal Of The American Statistical Association 2026, ahead-of-print: 1-12. DOI: 10.1080/01621459.2025.2606388.Peer-Reviewed Original ResearchTime-to-event traitsRare variant analysisWhole-genome sequencingLarge-scale whole-genome sequencing studiesAnalysis of rare genetic variantsWhole-genome sequencing studiesTrait of Alzheimer's diseaseAlzheimer's diseaseVariant association analysisRare genetic variantsAmino acid changesSample relatednessNoncoding variantsWGS dataWGS studiesFunctional annotationNoncoding regionsComplex traitsPopulation structureProtein functionSequencing studiesBinary traitsAssociation analysisAcid changesGenetic mechanismsRetinal structure and microcirculation alterations in dysthyroid optic neuropathy: A comprehensive OCTA study
Tan K, Liu Y, Zhang Y, Chen X, Li J, Wang H, Wu S, Feng M, Xi C, Sun Q, Sun J, Li Y, Yu Z, Zhou H, Fan X. Retinal structure and microcirculation alterations in dysthyroid optic neuropathy: A comprehensive OCTA study. Asia-Pacific Journal Of Ophthalmology 2026, 100303. PMID: 41833634, DOI: 10.1016/j.apjo.2026.100303.Peer-Reviewed Original ResearchDysthyroid optic neuropathyOptical coherence tomography angiographyThyroid eye diseaseArea under the receiver operating characteristic curveWhole retinal layerDiagnostic performanceRetinal VDOptic neuropathyRetinal structureVisual functionVessel densityThyroid eye disease patientsNon-DON patientsVF mean deviationIrreversible visual lossCoherence tomography angiographyReceiver operating characteristic curveVisual evoked potentialsRegions of patientsVisual fieldOperating characteristics curveMacular retinaOCTA parametersVisual acuityVisual lossLeveraging co-attention-based interactions between pathology and radiology for pan-cancer survival prediction
Xia Y, Zhou J, Wang M, Hu T, Zhai W, Zhang Y, Yu Z. Leveraging co-attention-based interactions between pathology and radiology for pan-cancer survival prediction. Computerized Medical Imaging And Graphics 2026, 130: 102744. PMID: 41806501, DOI: 10.1016/j.compmedimag.2026.102744.Peer-Reviewed Original ResearchAssociation Between Renal Dysfunction and Cerebral Small Vessel Disease: A Prospective Cohort Study From the UK Biobank
Sun X, Chen J, Gao Y, Chen Y, Li Y, Pang R, Cai L, Yu Z, Huang D, Li P. Association Between Renal Dysfunction and Cerebral Small Vessel Disease: A Prospective Cohort Study From the UK Biobank. CNS Neuroscience & Therapeutics 2026, 32: e70802. PMID: 41732912, PMCID: PMC12930275, DOI: 10.1002/cns.70802.Peer-Reviewed Original ResearchConceptsRenal dysfunction biomarkersRenal dysfunctionWhite matter hyperintensitiesMagnetic resonance imagingCerebral small vessel diseaseEnlarged Perivascular SpacesCerebral microbleedsEstimated glomerular filtration rateSub-cohortMean diffusivityBrain magnetic resonance imagingFractional anisotropySmall vessel diseaseGlomerular filtration rateFollow-up periodProspective cohort studyBlood urea nitrogenVessel diseaseCerebral small vessel disease burden scoreUK BiobankWhite matter hyperintensityMRI featuresFiltration rateCohort studyFA valuesSafety and feasibility of dual external ventricular and lumbar drainage with rt-PA in intraventricular hemorrhage: A pilot study
Hu P, Wang Y, Du S, Liu L, Yang J, Wu Y, Yan T, Yang X, Xiao B, Ye M, Zhu X, Yu Z, Gong Y, Wu M. Safety and feasibility of dual external ventricular and lumbar drainage with rt-PA in intraventricular hemorrhage: A pilot study. Neurosurgical Review 2026, 49: 217. PMID: 41667715, DOI: 10.1007/s10143-025-04130-8.Peer-Reviewed Original ResearchExternal ventricular drainageIntraventricular hemorrhageLumbar drainageModified Rankin ScaleRt-PAFunctional outcomesIntraventricular hemorrhage clearanceRecombinant tissue plasminogen activatorHistorical matched controlsThree-year mortalityTissue plasminogen activatorPer treatment cyclePilot studyRandomized Controlled TrialsShunt dependencyVentricular drainageCranial CTClot clearanceTreatment detailsHematoma clearanceZero patientsFibrinolytic therapyFollow-upFunctional independenceRankin ScaleSystemic inflammation mediates the link between metabolic syndrome and colorectal cancer risk: insights from a large prospective cohort
Lv W, Wang S, Duan L, Dong Z, Zhu H, Wang G, Yu Z, Xu S. Systemic inflammation mediates the link between metabolic syndrome and colorectal cancer risk: insights from a large prospective cohort. Postgraduate Medical Journal 2026, qgag007. PMID: 41609217, DOI: 10.1093/postmj/qgag007.Peer-Reviewed Original ResearchColorectal cancer riskColorectal cancerHigh risk of colorectal cancerRisk of colorectal cancerColorectal cancer risk predictionMetabolic syndromeMediation analysisSystemic inflammation biomarkersUK Biobank participantsLow-grade inflammationCausal mediation analysisDevelopment of preventive strategiesHigh riskCox proportional hazards modelsInflammation biomarkersMultivariate linear regressionBiobank participantsProportional hazards modelUK BiobankCancer riskCentral obesityInflammation indexSystemic inflammationPrevention strategiesProspective cohortA DNN‐Based Weighted Partial Likelihood for Partially Linear Subdistribution Hazard Model
Zhu N, Yu Z. A DNN‐Based Weighted Partial Likelihood for Partially Linear Subdistribution Hazard Model. Statistics In Medicine 2026, 45: e70397. PMID: 41569618, DOI: 10.1002/sim.70397.Peer-Reviewed Original ResearchConceptsConvergence rateRegression componentWeighted partial likelihoodPartially linear structureSubdistribution hazard modelAsymptotic normalityNonparametric componentPartial likelihoodTheory of consistencyRisk dataLinear structureReal-world datasetsTheoretical resultsParameter componentsDeep learning methodsDeep learningLearning methodsExcellent performanceStatistical learningEstimationConvergencePredictive performanceNumerical simulationsHazards modelLearning
2025
A multimodal AI model for precision prognosis in clear cell renal cell carcinoma: A multicenter study
Zang X, Xia Y, Xiao H, Luo H, Si M, Hou N, Haoni A, Chen T, Liu Z, Pu X, Zi X, Xu L, Zhu J, Xu Z, Wang J, Wang Z, Xia J, Cao D, Yin Y, Wang J, Wu X, Kong W, Huang J, Zhang J, Chen Y, Huang Y, Leung D, Teoh J, Wang K, Liang C, Zheng J, Yu Z, Zhai W. A multimodal AI model for precision prognosis in clear cell renal cell carcinoma: A multicenter study. Npj Digital Medicine 2025, 8: 668. PMID: 41249481, PMCID: PMC12623892, DOI: 10.1038/s41746-025-02034-x.Peer-Reviewed Original ResearchCell renal cell carcinomaRenal cell carcinomaAdjuvant therapyCell carcinomaInadequate adjuvant therapyRisk of recurrenceNon-recurrent patientsClinical toolRecurrence risk stratificationC-index valuesTherapeutic decision-makingRecurrence scoreRecurrent patientsClinicopathological factorsMulticenter studyClinical featuresRisk stratificationPrecision prognosisC-indexMolecular profilingClinical feasibilityLow riskHigh riskPrognostic modelPatientsClinical Features of Chinese Patients with Thyroid Eye Disease: A Multicenter Retrospective Study
Lei C, Lyu X, Ren Y, Wei D, Zhang S, Zhang Y, Wang L, Liu L, Wen J, Liu X, Lin C, Lu W, Liu J, Li R, Zhang S, Song X, Yu Z, Bahn R, Zhou H. Clinical Features of Chinese Patients with Thyroid Eye Disease: A Multicenter Retrospective Study. Thyroid 2025, 35: 1187-1197. PMID: 40658134, DOI: 10.1177/10507256251359559.Peer-Reviewed Original ResearchThyroid eye diseaseSight-threatening thyroid eye diseaseTED severityRetrospective multicenter studyClinical featuresTreatment responseIntravenous glucocorticoidsMulticenter studyEye diseaseClinical features of Chinese patientsChinese cohortSevere thyroid eye diseaseFeatures of Chinese patientsClinical activity scoreMulticenter retrospective studyDegree of exophthalmosDebilitating autoimmune disorderModerate-to-severeConclusions:Area under the receiver operating curveReceiver operating curveDiplopia scoreSight-threateningOphthalmology departmentThyroid dysfunctionDeep partially linear transformation model for right-censored survival data
Yin J, Zhang Y, Yu Z. Deep partially linear transformation model for right-censored survival data. Biometrics 2025, 81: ujaf126. PMID: 41165358, DOI: 10.1093/biomtc/ujaf126.Peer-Reviewed Original ResearchConceptsLinear transformation modelRight-censored survival dataSemiparametric transformation modelsRight-censored dataAnalysis of survival dataMaximum likelihood estimationOverall convergence rateSurvival dataComprehensive simulation studySemiparametric efficiencyAsymptotic normalityLikelihood estimationParametric estimationCurse of dimensionalityPH assumptionConvergence rateEstimation procedureSimulation studyTransformation modelRegression frameworkDeep neural network estimatorSurvival modelsEstimationMinimaxNetwork estimation