Hobart Patrick Young, PhD
Research ScientistCards
About
Research
Publications
2026
Assessment of the integrity of real-time electronic health record data used in clinical research.
Liu J, Pandya S, Coppi A, Young HP, Krumholz HM, Schulz WL, Gong G. Assessment of the integrity of real-time electronic health record data used in clinical research. PLoS One 2026, 21: e0340287. PMID: 41511976, DOI: 10.1371/journal.pone.0340287.Peer-Reviewed Original ResearchClinical Trial Patient Matching: A Real-Time, Common Data Model and Artificial Intelligence-Driven System for Semiautomated Patient Prescreening in Cancer Clinical Trials.
Gong G, Liu J, Pandya S, Taborda C, Wiesendanger N, Price N, Byron W, Coppi A, Young P, Wiess C, Dunning H, Barganier C, Brodeur R, Fischbach N, LoRusso P, Pusztai L, Kim SY, Rozenblit M, Cecchini M, Mongiu A, Mendez L, Kaftan E, Torre C Jr, Krumholz H, Krop I, Schulz W, Lustberg M, Kunz PL. Clinical Trial Patient Matching: A Real-Time, Common Data Model and Artificial Intelligence-Driven System for Semiautomated Patient Prescreening in Cancer Clinical Trials. JCO Clin Cancer Inform 2026, 10: e2500262. PMID: 41512229, DOI: 10.1200/CCI-25-00262.Peer-Reviewed Original Research
2025
Association Between Neighborhood-Level Social Vulnerability and Hypertension Outcomes
Brush J, Kim C, Liu Y, Xin X, Huang C, Lundy I, Asher J, Sawano M, Young P, McPadden J, Anderson M, Burrows J, Krumholz H, Lu Y. Association Between Neighborhood-Level Social Vulnerability and Hypertension Outcomes. JACC Advances 2025, 4: 101912. PMID: 40627892, PMCID: PMC12272890, DOI: 10.1016/j.jacadv.2025.101912.Peer-Reviewed Original ResearchNeighborhood-level social vulnerabilitySocial Vulnerability IndexAssociated with hypertension prevalenceDiverse cohortSocial Vulnerability Index quartilesElectronic health dataIncident myocardial infarctionBaseline body mass indexDiverse cohort of patientsSocial vulnerabilityBody mass indexPoor BP controlCardiovascular outcomesHypertension prevalenceBlood pressureHypertension outcomesRacial disparitiesHealth dataHypertension managementAssociated with adverse cardiovascular outcomesLongitudinal cohortMass indexWhite raceBlack raceComposite endpointDelayed Hypertension Diagnosis and Its Association With Cardiovascular Treatment and Outcomes
Lu Y, Brush J, Kim C, Liu Y, Xin X, Huang C, Sawano M, Young P, McPadden J, Anderson M, Burrows J, Asher J, Krumholz H. Delayed Hypertension Diagnosis and Its Association With Cardiovascular Treatment and Outcomes. JAMA Network Open 2025, 8: e2520498. PMID: 40658418, PMCID: PMC12261005, DOI: 10.1001/jamanetworkopen.2025.20498.Peer-Reviewed Original ResearchConceptsElectronic health recordsHypertension diagnosisIntegrated health care systemHazard ratioNon-Hispanic black raceAntihypertensive medication prescribingMedication prescription ratesClinical diagnosis of hypertensionHealth care systemCardiovascular outcomesRisk of myocardial infarctionCox proportional hazards regression modelsAssociated with younger ageOutpatient blood pressureBlood pressureCardiovascular riskProportional hazards regression modelsAntihypertensive medication prescriptionsDiagnosis of hypertensionMultivariate Cox proportional hazards regression modelsAssociated with delayHazards regression modelsMedication prescribingHealth recordsNon-HispanicNasal biomarker testing to rule out viral respiratory infection and triage samples: a test performance study
Amat J, Dudgeon S, Cheemarla N, Watkins T, Green A, Young H, Peaper D, Landry M, Schulz W, Foxman E. Nasal biomarker testing to rule out viral respiratory infection and triage samples: a test performance study. EBioMedicine 2025, 117: 105820. PMID: 40543450, PMCID: PMC12216728, DOI: 10.1016/j.ebiom.2025.105820.Peer-Reviewed Original ResearchRespiratory virus infectionsHigh-risk settingsRespiratory infectionsRoutine screeningVirus infectionViral respiratory infectionsLow viral loadViral prevalenceGold standard testRespiratory virus diagnosisNasal biomarkersViral loadPractical screening testNasal mucosaRespiratory virusesHost biomarkersChemotherapeutic drugsVirus-positiveBiomarker testingNasopharyngeal samplesCXCL10Medical recordsScreening testElectronic medical recordsPCR panel
2024
A primer for quantum computing and its applications to healthcare and biomedical research
Durant T, Knight E, Nelson B, Dudgeon S, Lee S, Walliman D, Young H, Ohno-Machado L, Schulz W. A primer for quantum computing and its applications to healthcare and biomedical research. Journal Of The American Medical Informatics Association 2024, 31: 1774-1784. PMID: 38934288, PMCID: PMC11258415, DOI: 10.1093/jamia/ocae149.Peer-Reviewed Original ResearchHypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records
Brush J, Lu Y, Liu Y, Asher J, Li S, Sawano M, Young P, Schulz W, Anderson M, Burrows J, Krumholz H. Hypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records. Journal Of The American Heart Association 2024, 13: e033253. PMID: 38686864, PMCID: PMC11179912, DOI: 10.1161/jaha.123.033253.Peer-Reviewed Original ResearchConceptsElectronic health recordsRegional health systemImprove hypertension careHealth systemHealth recordsHypertension careDiastolic blood pressureAge-adjusted prevalence ratesNon-Hispanic black patientsPrevalence ratesLarger health systemCross-sectional analysisTransformation of medical dataLeveraging real-world dataHigh prevalence rateHypertension trendsHypertension prevalenceBlood pressureBlood pressure measurementsHypertension diagnosisPrimary outcomeNational trendsProportion of patientsAntihypertensive medicationsBlack patientsKamino: A Scalable Architecture to Support Medical AI Research Using Large Real World Data
Lin F, Young P, He H., Huang J, Gagne R, Rice D, Price N, Byron W, Hu Y, Felker D, Button W, Meeker D, Hsiao A, Xu H, Torre C, Schulz W, Kamino: A Scalable Architecture to Support Medical AI Research Using Large Real World Data. 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI), Orlando, FL, USA, 2024, pp. 500-504, doi: 10.1109/ICHI61247.2024.00072.Peer-Reviewed Original ResearchIgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition
Ozonoff A, Ehrlich L, Melamed E, Sesma A, Simon V, Pulendran B, Nadeau K, Davis M, McCoey G, Sekaly R, Baden L, Levy O, Schaenman J, Reed E, Shaw A, Hafler D, Montgomery R, Kleinstein S, Becker P, Augustine A, Calfee C, Erle D, DeBakey M, Corry D, Kheradmand F, Atkinson M, Brakenridge S, Higuita N, Metcalf J, Hough C, Messer W, Kraft M, Bime C, Peters B, Milliren C, Syphurs C, McEnaney K, Barton B, Lentucci C, Saluvan M, Chang A, Hoch A, Albert M, Shaheen T, Kho A, Liu S, Thomas S, Chen J, Murphy M, Cooney M, Hayati A, Bryant R, Abraham J, Jayavelu N, Presnell S, Jancsyk T, Maguire C, Qi J, Lee B, Fourati S, Esserman D, Guan L, Gygi J, Pawar S, Brito A, Fragiadakis G, Patel R, Overton J, Vita R, Westendorf K, Shannon C, Tebbutt S, Thyagarajan R, Rousseau J, Wylie D, Triplett T, Kojic E, Chinthrajah S, Ahuja N, Rogers A, Artandi M, Geng L, Yendewa G, Powell D, Kim J, Simmons B, Goonewardene I, Smith C, Martens M, Sherman A, Walsh S, Issa N, Salehi-Rad R, Dela Cruz C, Farhadian S, Iwasaki A, Ko A, Anderson E, Mehta A, Sevransky J, Seyfert-Margolis V, Leligdowicz A, Matthay M, Singer J, Kangelaris K, Hendrickson C, Krummel M, Langelier C, Woodruff P, Corry D, Kheradmand F, Anderson M, Guirgis F, Drevets D, Brown B, Siegel S, Lu Z, Mosier J, Kimura H, Khor B, van Bakel H, Rahman A, Stadlbauer D, Dutta J, Xie H, Kim-Schulze S, Gonzalez-Reiche A, van de Guchte A, Carreño J, Singh G, Raskin A, Tcheou J, Bielak D, Kawabata H, Kelly G, Patel M, Nie K, Yellin T, Fried M, Sullivan L, Morris S, Sieg S, Steen H, van Zalm P, Fatou B, Mendez K, Lasky-Su J, Hutton S, Michelotti G, Wong K, Jha M, Viode A, Kanarek N, Petrova B, Zhao Y, Bosinger S, Boddapati A, Tharp G, Pellegrini K, Beagle E, Cowan D, Hamilton S, Ribeiro S, Hodder T, Rosen L, Lee S, Wilson M, Dandekar R, Alvarenga B, Rajan J, Eckalbar W, Schroeder A, Tsitsiklis A, Mick E, Guerrero Y, Love C, Maliskova L, Adkisson M, Siles N, Geltman J, Hurley K, Saksena M, Altman D, Srivastava K, Eaker L, Bermúdez-González M, Beach K, Sominsky L, Azad A, Mulder L, Kleiner G, Lee A, Do E, Fernandes A, Manohar M, Hagan T, Blish C, Din H, Roque J, Yang S, Sigal N, Chang I, Tribout H, Harris P, Consolo M, Edwards C, Lee E, Lin E, Croen B, Semenza N, Rogowski B, Melnyk N, Bell M, Furukawa S, McLin R, Schearer P, Sheidy J, Tegos G, Nagle C, Smolen K, Desjardins M, van Haren S, Mitre X, Cauley J, Li X, Tong A, Evans B, Montesano C, Licona J, Krauss J, Chang J, Izaguirre N, Rooks R, Elashoff D, Brook J, Ramires-Sanchez E, Llamas M, Rivera A, Perdomo C, Ward D, Magyar C, Fulcher J, Pickering H, Sen S, Chaudhary O, Coppi A, Fournier J, Mohanty S, Muenker C, Nelson A, Raddassi K, Rainone M, Ruff W, Salahuddin S, Schulz W, Vijayakumar P, Wang H, Wunder E, Young H, Rothman J, Konstorum A, Chen E, Cotsapas C, Grubaugh N, Wang X, Xu L, Asashima H, Bristow L, Hussaini L, Hellmeister K, Samaha H, Wimalasena S, Cheng A, Spainhour C, Scherer E, Johnson B, Bechnak A, Ciric C, Hewitt L, Carter E, Mcnair N, Panganiban B, Huerta C, Usher J, Vaysman T, Holland S, Abe-Jones Y, Asthana S, Beagle A, Bhide S, Carrillo S, Chak S, Ghale R, Gonzalez A, Jauregui A, Jones N, Lea T, Lee D, Lota R, Milush J, Nguyen V, Pierce L, Prasad P, Rao A, Samad B, Shaw C, Sigman A, Sinha P, Ward A, Willmore A, Zhan J, Rashid S, Rodriguez N, Tang K, Altamirano L, Betancourt L, Curiel C, Sutter N, Paz M, Tietje-Ulrich G, Leroux C, Thakur N, Vasquez J, Santhosh L, Song L, Nelson E, Moldawer L, Borresen B, Roth-Manning B, Ungaro R, Oberhaus J, Booth J, Sinko L, Brunton A, Sullivan P, Strnad M, Lyski Z, Coulter F, Micheleti C, Conway M, Francisco D, Molzahn A, Erickson H, Wilson C, Schunk R, Sierra B, Hughes T. IgM N-glycosylation correlates with COVID-19 severity and rate of complement deposition. Nature Communications 2024, 15: 404. PMID: 38195739, PMCID: PMC10776791, DOI: 10.1038/s41467-023-44211-0.Peer-Reviewed Original ResearchFeatures of acute COVID-19 associated with post-acute sequelae of SARS-CoV-2 phenotypes: results from the IMPACC study
McEnaney K, Barton B, Lentucci C, Saluvan M, Chang A, Hoch A, Albert M, Shaheen T, Kho A, Thomas S, Chen J, Murphy M, Cooney M, Hayati A, Bryant R, Abraham J, Presnell S, Jancsyk T, Maguire C, Lee B, Fourati S, Esserman D, Guan L, Gygi J, Pawar S, Brito A, Fragiadakis G, Patel R, Tebbutt S, Overton J, Vita R, Westendorf K, Thyagarajan R, Rousseau J, Wylie D, Triplett T, Kojic E, Chinthrajah S, Ahuja N, Rogers A, Artandi M, Yendewa G, Powell D, Kim J, Simmons B, Goonewardene I, Smith C, Martens M, Sherman A, Walsh S, Issa N, Salehi-Rad R, Dela Cruz C, Farhadian S, Iwasaki A, Ko A, Anderson E, Mehta A, Sevransky J, Leligdowicz A, Matthay M, Singer J, Kangelaris K, Hendrickson C, Krummel M, Woodruff P, Anderson M, Guirgis F, Drevets D, Brown B, Siegel S, Lu Z, Mosier J, Kimura H, Khor B, Rahman A, Stadlbauer D, Dutta J, Gonzalez-Reiche A, van de Guchte A, Carreño J, Singh G, Raskin A, Tcheou J, Bielak D, Kawabata H, Xie H, Kelly G, Patel M, Nie K, Yellin T, Fried M, Sullivan L, Morris S, Sieg S, van Zalm P, Fatou B, Mendez K, Lasky-Su J, Hutton S, Michelotti G, Wong K, Jha M, Viode A, Kanarek N, Petrova B, Zhao Y, Boddapati A, Tharp G, Pellegrini K, Beagle E, Cowan D, Hamilton S, Ribeiro S, Hodder T, Lee S, Wilson M, Alvarenga B, Rajan J, Schroeder A, Tsitsiklis A, Mick E, Guerrero Y, Love C, Maliskova L, Adkisson M, Siles N, Geltman J, Hurley K, Saksena M, Altman D, Srivastava K, Eaker L, Bermúdez-González M, Beach K, Sominsky L, Azad A, Mulder L, Kleiner G, Lee A, Do E, Fernandes A, Manohar M, Hagan T, Blish C, Din H, Roque J, Yang S, Sigal N, Chang I, Tribout H, Harris P, Consolo M, Connors J, Bernui M, Kutzler M, Edwards C, Lee E, Lin E, Croen B, Semenza N, Rogowski B, Melnyk N, Woloszczuk K, Cusimano G, Bell M, Furukawa S, McLin R, Schearer P, Sheidy J, Tegos G, Nagle C, Smolen K, Desjardins M, van Haren S, Mitre X, Cauley J, Li X, Tong A, Evans B, Montesano C, Licona J, Krauss J, Chang J, Izaguirre N, Rooks R, Elashoff D, Brook J, Ramires-Sanchez E, Llamas M, Rivera A, Perdomo C, Ward D, Magyar C, Fulcher J, Pickering H, Sen S, Chaudhary O, Coppi A, Fournier J, Mohanty S, Muenker M, Nelson A, Raddassi K, Rainone M, Ruff W, Salahuddin S, Schulz W, Vijayakumar P, Wang H, Wunder E, Young H, Rothman J, Konstorum A, Chen E, Cotsapas C, Grubaugh N, Wang X, Xu L, Asashima H, Bristow L, Hussaini L, Hellmeister K, Wimalasena S, Cheng A, Spainhour C, Scherer E, Johnson B, Bechnak A, Ciric C, Hewitt L, Carter E, Mcnair N, Panganiban B, Huerta C, Usher J, Vaysman T, Holland S, Abe-Jones Y, Asthana S, Beagle A, Bhide S, Carrillo S, Chak S, Ghale R, Gonzalez A, Jauregui A, Jones N, Lea T, Lee D, Lota R, Milush J, Nguyen V, Pierce L, Prasad P, Rao A, Samad B, Shaw C, Sigman A, Sinha P, Ward A, Willmore A, Zhan J, Rashid S, Rodriguez N, Tang K, Altamirano L, Betancourt L, Curiel C, Sutter N, Paz M, Tietje-Ulrich G, Leroux C, Thakur N, Vasquez J, Santhosh L, Song L, Nelson E, Moldawer L, Borresen B, Roth-Manning B, Ungaro R, Oberhaus J, Booth J, Sinko L, Brunton A, Sullivan P, Strnad M, Lyski Z, Coulter F, Micheleti C, Conway M, Francisco D, Molzahn A, Erickson H, Wilson C, Schunk R, Sierra B, Hughes T. Features of acute COVID-19 associated with post-acute sequelae of SARS-CoV-2 phenotypes: results from the IMPACC study. Nature Communications 2024, 15: 216. PMID: 38172101, PMCID: PMC10764789, DOI: 10.1038/s41467-023-44090-5.Peer-Reviewed Original Research
Academic Achievements & Community Involvement
News
News
- June 24, 2025Source: Yale News
Screen Saver: Simpler, Less Costly Virus Testing in High-Risk Settings
- July 02, 2024
Lab Medicine faculty publish primer for quantum computing in healthcare
- May 28, 2024
Next Generation Research Uses Real-World Data to Identify Most Effective Hypertension Drugs for Patients