Guido J. Falcone, MD, ScD, MPH
Associate Professor of NeurologyCards
About
Titles
Associate Professor of Neurology
Academic Chief, Division of Neurocritical Care, Neurology; Director of Clinical Research in Neurocritical Care, Neurology; Training Director, Yale/AHA Bugher Center for Intracerebral Hemorrhage Research, Neurology; Staff Neurointensivist, Neurology
Biography
I am a Neurologist with subspecialty training in Neurocritical Care and Stroke, and an Epidemiologist with expertise in Population Genetics and Big Data. While on clinical duties, I treat critically ill patients that have sustained a significant neurological injury due to ischemic stroke, subarachnoid hemorrhage, intraparenchymal hemorrhage, traumatic brain injury, seizures, recent neurosurgery, decompensated neuromuscular diseases, and several others.
My research lies at the interphase of clinical neurology, neuroimaging, population genetics and genomic medicine. I am interested in understanding how common and rare genetic variation influences the occurrence, severity, functional outcome and recurrence of stroke, both hemorrhagic and ischemic. Genetic variants influencing these phenotypes can be used for numerous applications, including: (1) identification of novel biological mechanisms involved in causing stroke and determining its severity and outcome, (2) answering non-genetic epidemiological questions using gene mutations as instruments (in the statistical sense of the word), and (3) risk stratification of patients according to their genetic profile. Through the International Stroke Genetics Consortium, I work in close collaboration with numerous investigators interested in stroke genomics from around the world.
Appointments
Neurology
Associate Professor on TermPrimary
Other Departments & Organizations
- Center for Brain & Mind Health
- Center for Neuroepidemiology and Clinical Neurological Research
- Neurocritical Care & Emergency Surgery
- Neurology
- Yale Center for Genomic Health
- Yale Medicine
- Yale-BI Biomedical Data Science Fellowship
Education & Training
- Neurocritical Care Fellowship
- Harvard Medical School / Massachusetts General Hospital / Brigham and Women's Hospital
- ScD
- Harvard School of Public Health, Department of Epidemiology
- MPH
- Harvard School of Public Health, Quantitative Methods
- Neurology Residency
- F.L.E.N.I.
- MD
- University of Buenos Aires School of Medicine
Research
Publications
2025
Unraveling disparities in county‐level dementia diagnosis prevalence across the United States
de Havenon A, Littig L, Falcone G, Sharma R, Fesharaki A, Yaghi S, Calvario E, Rosand J, Sheth K, Anderson C. Unraveling disparities in county‐level dementia diagnosis prevalence across the United States. Alzheimer's & Dementia 2025, 21: e70954. PMID: 41404852, PMCID: PMC12709554, DOI: 10.1002/alz.70954.Peer-Reviewed Original ResearchConceptsDiagnosis prevalenceDementia diagnosisFast foodFast food accessImpact of targeted interventionsHigher diabetes prevalenceUninsured rateCounty-level variablesCounty-level variationDementia casesDiabetes prevalenceUnited StatesSmoking ratesHigh-burden communitiesMedicare beneficiariesHigher diabetesPrevention strategiesDementiaLogistic regressionPrevalenceBackward selectionLarger householdsHousehold sizePredictorsCountyAdditive Effects of White Matter Hyperintensity and APOE ε4 Status on Risk of Incident Dementia in Two Large Longitudinal Cohorts
de Havenon A, Littig L, Clocchiatti‐Tuozzo S, Johnson I, Constantinescu S, Rivier C, Huo S, Kimberly W, Gomez‐Isla T, Kim Y, Stulberg E, Smith E, Rosand J, Falcone G, Sheth K, Brickman A. Additive Effects of White Matter Hyperintensity and APOE ε4 Status on Risk of Incident Dementia in Two Large Longitudinal Cohorts. Annals Of Neurology 2025 PMID: 41267647, DOI: 10.1002/ana.78103.Peer-Reviewed Original ResearchIncident all-cause dementiaDementia incidence ratesAll-cause dementiaApolipoprotein E e4 statusE4 statusHazard ratioRisk of incident all-cause dementiaRisk of incident dementiaWhite matter hyperintensitiesIncidence rateVascular risk managementDelay dementia onsetAdjusted hazard ratiosProspective cohort studyEffects of white matter hyperintensityApolipoprotein EAt-risk individualsCox proportional hazards modelsIncident dementiaDementia riskDementia onsetProportional hazards modelWhite matter hyperintensities burdensAtherosclerosis RiskARICSLAMF1 as a Risk Biomarker for Nontraumatic SAH: Evidence From a Multiomics Study.
Renedo D, Koo A, Sujijantarat N, Clocchiatti-Tuozzo S, Huo S, Acosta J, Hebert R, Gunel M, Sansing L, Sheth K, Falcone G, Matouk C, Rivier C. SLAMF1 as a Risk Biomarker for Nontraumatic SAH: Evidence From a Multiomics Study. Stroke 2025 PMID: 41221640, DOI: 10.1161/strokeaha.125.052604.Peer-Reviewed Original ResearchMendelian randomizationSubarachnoid hemorrhage riskIncident SAH casesNontraumatic subarachnoid hemorrhageSubarachnoid hemorrhageUK BiobankSmoking statusClinical priorityPrevention strategiesCellular expression profilesCox proportional hazards analysisProportional hazards analysisRisk predictionCis-protein quantitative trait lociCD4 naive cellsSAH casesRisk biomarkersSubarachnoid hemorrhage pathophysiologyAdaptive immune responsesHuman hematopoietic progenitorsFollow-upQuantitative trait lociSingle-cell transcriptome analysisRiskCerebrovascular eventsComparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome Prediction
Tran A, Wen J, Karam G, Zeevi D, Qureshi A, Malhotra A, Majidi S, Valizadeh N, Murthy S, Sabuncu M, Roh D, Falcone G, Sheth K, Payabvash S. Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome Prediction. BioTech 2025, 14: 87. PMID: 41283322, PMCID: PMC12641684, DOI: 10.3390/biotech14040087.Peer-Reviewed Original ResearchNon-negative matrix factorizationDeep neural networksDeep learning featuresAdmission head CTHematoma expansionMachine-learning classifiersHead CTDeep featuresIterative trainingLearned featuresPredictive performanceSingle-center datasetLesion patchesNeural networkUnsupervised non-negative matrix factorizationGenerative autoencoderSegmental encodingMedical imagesSegmentation modelExtra TreesIntracerebral hemorrhageMatrix factorizationRandom forestNon-contrast head CTAcute intracerebral hemorrhageReply to “Genetic Risk, Drug Regimens, and the Limits of Equitable Translation”
Huo S, Falcone G. Reply to “Genetic Risk, Drug Regimens, and the Limits of Equitable Translation”. Annals Of Neurology 2025, 98: 1402-1403. PMID: 41104730, DOI: 10.1002/ana.78063.Peer-Reviewed Original ResearchCoherence of Stroke Survivors’ Lived Experiences and the Stroke-Specific Quality of Life Scale
Choksi D, Craven M, McVeigh T, Mallick A, Ranman T, Kourkoulis C, Constantinescu S, Kitagawa R, Egger E, Rosenfeld L, Forman R, Falcone G, Rosand J, Merker V, Yechoor N. Coherence of Stroke Survivors’ Lived Experiences and the Stroke-Specific Quality of Life Scale. JAMA Network Open 2025, 8: e2537951. PMID: 41105407, PMCID: PMC12534846, DOI: 10.1001/jamanetworkopen.2025.37951.Peer-Reviewed Original ResearchConceptsHealth-related quality of lifeHealth-related quality of life constructStroke Specific QualityEmotional Well-BeingHealth-related qualityStroke survivorsStroke-specificComprehensive assessment of HRQOLStroke-Specific Quality of Life ScaleWell-beingAssessment of health-related quality of lifeQualitative studyHealth-related quality of life assessmentPoststroke recoveryQuality of Life ScaleSurvivors of strokeUS comprehensive stroke centersLoss of independenceIdentification of themesPhysical well-beingFocus group sessionsQuality of lifePoststroke carePhysical functionFramework methodDifferential results of genetic risk scoring for multiple sclerosis in European and African American populations
Rivier C, Xu L, Clocchiatti-Tuozzo S, Zhao H, Ohno-Machado L, Hafler D, Falcone G, Longbrake E. Differential results of genetic risk scoring for multiple sclerosis in European and African American populations. Multiple Sclerosis Journal 2025, 31: 1304-1313. PMID: 40991630, PMCID: PMC12633797, DOI: 10.1177/13524585251377607.Peer-Reviewed Original ResearchConceptsGenetic risk scoreInternational ClassificationSystematized Nomenclature of MedicineAfrican ancestryRisk scoreCross-sectional studyHigh-risk individualsMultiple sclerosisSystematized NomenclatureAfrican American populationAfrican ancestry groupMS prevalenceAncestry groupsMS riskNomenclature of MedicineAmerican populationParticipantsAfrican participantsAncestryEuropean populationsClinical trialsDifferentiation resultsScoresIndividualsPopulationCharacterizing Stroke Clots Using Single‐Cell Sequencing
Renedo D, Barak T, DeLong J, Acosta J, Sujijantarat N, Koo A, Rivier C, Clocchiatti-Tuozzo S, Huo S, Antonios J, Giles J, Falcone G, Sheth K, Hebert R, Gunel M, Sansing L, Navaratnam D, Matouk C. Characterizing Stroke Clots Using Single‐Cell Sequencing. Journal Of The American Heart Association 2025, 14: ejaha/2025/041738-t. PMID: 40878981, PMCID: PMC12553457, DOI: 10.1161/jaha.125.041738.Peer-Reviewed Original ResearchConceptsMulti-marker analysisGene expressionMulti-marker Analysis of GenoMic AnnotationCell type-specific gene expressionT cellsGenome-wide association studiesGene expression of cellsSingle-cell RNA sequencingPotential biomarkersTIMP1Genes associated with atherosclerosisHLA-DRB1*01Single-cell sequencingExpression of genesUpregulated expression of genesGene expression profilesCarotid atherosclerosisGenome annotationCD8 T cellsUpregulated expressionImmune cell compositionAssociation studiesNatural killer cellsImmune cell populationsLarge vessel occlusion strokeNational Versus State-Level Racial Disparities in Acute Stroke Interventions Using Get With The Guidelines-Stroke Data
Kim J, Herman A, Shrader P, Alhanti B, Xian Y, Falcone G, Mac Grory B, Smith E, Messe S, de Havenon A, Fonarow G, Sheth K. National Versus State-Level Racial Disparities in Acute Stroke Interventions Using Get With The Guidelines-Stroke Data. Stroke 2025, 56: 2945-2956. PMID: 40832710, PMCID: PMC12581475, DOI: 10.1161/strokeaha.124.050446.Peer-Reviewed Original ResearchConceptsNon-Hispanic white patientsNon-Hispanic black patientsRacial disparitiesEquitable careGuidelines-StrokeStroke careWhite patientsStroke Belt statesNon-Hispanic blacksQuality improvement initiativesHospital-level characteristicsBlack patientsNon-Hispanic whitesHospital-level covariatesAdministration of thrombolysisUtilization of thrombolysisState-level disparitiesCare of patientsRace-based disparitiesState-level inequalityNational levelRacial/ethnic disparitiesIslander patientsAcute stroke interventionAcute stroke treatmentPolygenic Resistance to Blood Pressure Treatment and Stroke Risk: Insights from the All of Us Research Program
Huo S, Rivier C, Clocchiatti‐Tuozzo S, Renedo D, Petersen N, de Havenon A, Meeker D, Zhao H, Ohno‐Machado L, Sheth K, Falcone G. Polygenic Resistance to Blood Pressure Treatment and Stroke Risk: Insights from the All of Us Research Program. Annals Of Neurology 2025 PMID: 40827941, DOI: 10.1002/ana.78009.Peer-Reviewed Original ResearchUs Research ProgramUncontrolled hypertensionSystolic BPGenetic riskSusceptibility to hypertensionRates of uncontrolled hypertensionPolygenic risk scoresAssociated with higher systolic BPOdds of uncontrolled hypertensionCox proportional hazards regressionUnited Kingdom BiobankGenetic association studiesHigh-risk individualsHigher systolic BPProportional hazards regressionBlood pressure treatmentIncident strokeStroke hazardBlood pressureHigher RatesSystolic blood pressureHypertensive adultsDiagnosed hypertensionBP medicationsHazards regression
Clinical Trials
Current Trials
Biomarker and Edema Attenuation in IntraCerebral Hemorrhage (BEACH)
HIC ID2000031665RoleSub InvestigatorPrimary Completion Date12/01/2025Recruiting ParticipantsGenderBothAge18+ yearsBrain Oxygen Optimization in Severe TBI, Phase 3 (BOOST3)
HIC ID2000024956RoleSub InvestigatorPrimary Completion Date07/01/2023Recruiting ParticipantsGenderBothAge14+ yearsAnticoagulation for Stroke Prevention and Recovery After ICH (ASPIRE)
HIC ID2000026409RolePrincipal InvestigatorPrimary Completion Date04/30/2028Recruiting ParticipantsGenderBothAge18+ yearsTransforming Acute Stroke Detection through Real Time Neurological Monitoring
HIC ID1605017863RoleSub InvestigatorPrimary Completion Date07/01/2017Recruiting ParticipantsGenderBothAge18+ years
Academic Achievements & Community Involvement
Clinical Care
Overview
Guido Falcone, MD, ScD, MPH, is a critical care neurologist who treats patients with severe brain injuries from trauma, strokes, hemorrhages, and seizures, among other conditions. “I usually meet patients with these injuries immediately after they come to the hospital,” Dr. Falcone says. He also sees patients suffering from symptoms caused by neuromuscular diseases or complications from brain surgery.
“One important characteristic of our specialty is that many important decisions need to be made in those initial few minutes to hours,” Dr. Falcone says. “We also need to factor in the patient’s wishes, but often they are unconscious and cannot communicate.”
In those cases, Dr. Falcone relies on the patient’s family for guidance. “This can cause a tremendous amount of stress as they carry the huge responsibility of representing their loved ones,” he says.
Dr. Falcone keeps this additional stress in mind when he’s talking with the patient’s family about a diagnosis and what to expect next. “It’s very important for us to be honest and explain to them what we know and don’t know so that this uncertainty can be taken into consideration when we’re making a clinical decision,” he says. Dr. Falcone says he and his colleagues in the Neuroscience Intensive Care Unit (Neuro ICU) frequently update families on the status of a patient’s condition and progress.
“Something I came to realize after a few years in the field is that we help patients and families all the time. Sometimes, we help them get better,” Dr. Falcone says. “But another important part of our job is to give the very best end-of-life care, with the same approach we use when curing a disease or saving lives, if that is necessary.”
In his research, Dr. Falcone specializes in population genetics and genomic medicine, two related fields that involve analyzing large amounts of data and searching for different variants of genes that might influence human disease. He works with a team that uses information from across disciplines, such as neuroimaging data, for example, to conduct studies. “We want to use data to understand not just what causes disease, but also who is at high risk of developing it,” Dr. Falcone says. “Genes are such a powerful tool in patient care because our genetic information is constant from birth.”
Clinical Specialties
News & Links
News
- December 04, 2025
At Yale, Rigorous Research Sets Stroke Treatments Up for Success
- August 21, 2025
Study Ties Genetics and Common Anticoagulant to Risk of Intracranial Hemorrhage
- July 05, 2023
Cyprien Rivier, MD, MSc Wins ESOC Young Research Investigator Award in Stroke
- February 08, 2023
Santiago Clocchiatti-Tuozzo, MD Honored with Bernard J. Tyson Career Development Award and Stroke Underrepresented Racial and Ethnic Groups Travel Grant
Get In Touch
Contacts
Locations
100 York Street
Academic Office
Fl 1, Ste 1E
New Haven, CT 06511
Business Office
203.785.6288Business Office Fax
203.737.4419Patient Care Locations
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