Hobart Patrick Young, PhD
Associate Research ScientistCards
About
Research
Publications
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
2023
Computational phenotypes for patients with opioid-related disorders presenting to the emergency department
Taylor R, Gilson A, Schulz W, Lopez K, Young P, Pandya S, Coppi A, Chartash D, Fiellin D, D’Onofrio G. Computational phenotypes for patients with opioid-related disorders presenting to the emergency department. PLOS ONE 2023, 18: e0291572. PMID: 37713393, PMCID: PMC10503758, DOI: 10.1371/journal.pone.0291572.Peer-Reviewed Original ResearchConceptsSubstance use disordersUse disordersED visitsPatient presentationCarlson comorbidity indexOpioid-related diagnosesOpioid-related disordersOne-year survivalRate of medicationOpioid use disorderElectronic health record dataPatient-oriented outcomesYears of ageHealth record dataChronic substance use disordersED returnComorbidity indexAcute overdoseMedical managementClinical entityRetrospective studyEmergency departmentChronic conditionsInclusion criteriaUnique cohortEvaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19
Menez S, Coca S, Moledina D, Wen Y, Chan L, Thiessen-Philbrook H, Obeid W, Garibaldi B, Azeloglu E, Ugwuowo U, Sperati C, Arend L, Rosenberg A, Kaushal M, Jain S, Wilson F, Parikh C, Consortium T, Deng J, Atta M, Bagnasco S, Ko A, Iwasaki A, Farhadian S, Nelson A, Casanovas-Massana A, White E, Schulz W, Coppi A, Young P, Nunez A, Shepard D, Matos I, Strong Y, Anastasio K, Brower K, Kuang M, Chiorazzi M, Bermejo S, Vijayakumar P, Geng B, Fournier J, Minasyan M, Muenker M, Moore A, Nadkarni G. Evaluation of Plasma Biomarkers to Predict Major Adverse Kidney Events in Hospitalized Patients With COVID-19. American Journal Of Kidney Diseases 2023, 82: 322-332.e1. PMID: 37263570, PMCID: PMC10229201, DOI: 10.1053/j.ajkd.2023.03.010.Peer-Reviewed Original ResearchConceptsSoluble tumor necrosis factor receptor 1Major adverse kidney eventsAdverse kidney eventsAdverse kidney outcomesAcute kidney injuryKidney eventsTumor necrosis factor receptor 1Necrosis factor receptor 1Plasma biomarkersKidney outcomesC-indexFactor receptor 1Hospitalized patientsCOVID-19KDIGO stage 3 acute kidney injuryDialysis-requiring acute kidney injuryStage 3 acute kidney injuryLong-term adverse health outcomesReceptor 1Long-term kidney dysfunctionAvailable blood samplesIdentification of patientsProportional hazards regressionAdverse health outcomesCOVID-19 hospitalization
2022
Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study
Ozonoff A, Schaenman J, Jayavelu ND, Milliren CE, Calfee CS, Cairns CB, Kraft M, Baden LR, Shaw AC, Krammer F, van Bakel H, Esserman DA, Liu S, Sesma AF, Simon V, Hafler DA, Montgomery RR, Kleinstein SH, Levy O, Bime C, Haddad EK, Erle DJ, Pulendran B, Nadeau KC, Davis MM, Hough CL, Messer WB, Higuita NIA, Metcalf JP, Atkinson MA, Brakenridge SC, Corry D, Kheradmand F, Ehrlich LIR, Melamed E, McComsey GA, Sekaly R, Diray-Arce J, Peters B, Augustine AD, Reed EF, Altman MC, Becker PM, Rouphael N, Ozonoff A, Schaenman J, Jayavelu N, Milliren C, Calfee C, Cairns C, Kraft M, Baden L, Shaw A, Krammer F, van Bakel H, Esserman D, Liu S, Sesma A, Simon V, Hafler D, Montgomery R, Kleinstein S, Levy O, Bime C, Haddad E, Erle D, Pulendran B, Nadeau K, Davis M, Hough C, Messer W, Higuita N, Metcalf J, Atkinson M, Brakenridge S, Corry D, Kheradmand F, Ehrlich L, Melamed E, McComsey G, Sekaly R, Diray-Arce J, Peters B, Augustine A, Reed E, 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, Presnell S, Fragiadakis G, Patel R, Guan L, Gygi J, Pawar S, Brito A, Khalil Z, Maguire C, Fourati S, Overton J, Vita R, Westendorf K, Salehi-Rad R, Leligdowicz A, Matthay M, Singer J, Kangelaris K, Hendrickson C, Krummel M, Langelier C, Woodruff P, Powell D, Kim J, Simmons B, Goonewardene I, Smith C, Martens M, Mosier J, Kimura H, Sherman A, Walsh S, Issa N, Dela Cruz C, Farhadian S, Iwasaki A, Ko A, Chinthrajah S, Ahuja N, Rogers A, Artandi M, Siegel S, Lu Z, Drevets D, Brown B, Anderson M, Guirgis F, Thyagarajan R, Rousseau J, Wylie D, Busch J, Gandhi S, Triplett T, Yendewa G, Giddings O, Anderson E, Mehta A, Sevransky J, Khor B, Rahman A, Stadlbauer D, Dutta J, Xie H, Kim-Schulze S, Gonzalez-Reiche A, van de Guchte A, Farrugia K, Khan Z, Maecker H, Elashoff D, Brook J, Ramires-Sanchez E, Llamas M, Rivera A, Perdomo C, Ward D, Magyar C, Fulcher J, Abe-Jones Y, Asthana S, Beagle A, Bhide S, Carrillo S, Chak S, Fragiadakis G, 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, 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, Marrero P, Sheidy J, Tegos G, Nagle C, Mege N, Ulring K, Seyfert-Margolis V, Conway M, Francisco D, Molzahn A, Erickson H, Wilson C, Schunk R, Sierra B, Hughes T, 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, 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, Zhao Y, Saksena M, Altman D, Kojic E, Srivastava K, Eaker L, Bermúdez-González M, Beach K, Sominsky L, Azad A, Carreño J, Singh G, Raskin A, Tcheou J, Bielak D, Kawabata H, Mulder L, Kleiner G, Lee A, Do Do E, Fernandes A, Manohar M, Hagan T, Blish C, Din H, Roque J, Yang S, Brunton A, Sullivan P, Strnad M, Lyski Z, Coulter F, Booth J, Sinko L, Moldawer L, Borresen B, Roth-Manning B, Song L, Nelson E, Lewis-Smith M, Smith J, Tipan P, Siles N, Bazzi S, Geltman J, Hurley K, Gabriele G, Sieg S, Vaysman T, Bristow L, Hussaini L, Hellmeister K, Samaha H, Cheng A, Spainhour C, Scherer E, Johnson B, Bechnak A, Ciric C, Hewitt L, Carter E, Mcnair N, Panganiban B, Huerta C, Usher J, Ribeiro S, Altman M, Becker P, Rouphael N. Phenotypes of disease severity in a cohort of hospitalized COVID-19 patients: Results from the IMPACC study. EBioMedicine 2022, 83: 104208. PMID: 35952496, PMCID: PMC9359694, DOI: 10.1016/j.ebiom.2022.104208.Peer-Reviewed Original ResearchConceptsRisk factorsRadiographic findingsFemale sexDisease severityHospitalized COVID-19 patientsSARS-CoV-2 antibodiesSARS-CoV-2 PCRLong COVID-19Presence of infiltratesInvasive mechanical ventilationCharacteristics of patientsOnly female sexViral load levelsClinical laboratory valuesCOVID-19 cohortMultivariable logistic regressionCOVID-19 patientsCoronavirus disease 2019PCR cycle thresholdCOVID-19Baseline creatinineBaseline lymphopeniaMedian ageOverall mortalityProlonged hospitalization
2021
Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report
Jiang G, Dhruva SS, Chen J, Schulz WL, Doshi AA, Noseworthy PA, Zhang S, Yu Y, Young H, Brandt E, Ervin KR, Shah ND, Ross JS, Coplan P, Drozda JP. Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report. Journal Of The American Medical Informatics Association 2021, 28: 2241-2250. PMID: 34313748, PMCID: PMC8449615, DOI: 10.1093/jamia/ocab117.Peer-Reviewed Original ResearchConceptsReal-world dataHealth information technology systemsInformation technology systemsUnique device identifiersMaturity modelNatural language processing toolsTechnology systemsUnstructured data elementsNatural language processingCommon data modelData quality frameworkLanguage processing toolsComputable phenotypeInformatics approachElectronic health recordsClinical data systemsData modelLanguage processingDevice identifiersStandardized codesData elementsProcessing toolsInformatics technologiesData captureHealth records