Featured Publications
Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care
Wiens J, Spector-Bagdady K, Mukherjee B. Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care. Annual Review Of Genomics And Human Genetics 2024, 25: 141-159. PMID: 38724019, DOI: 10.1146/annurev-genom-010323-010230.Peer-Reviewed Original ResearchChronic care managementSpectrum of careArtificial intelligenceClinical care decisionsAcademic medical centerEthical challengesClinical decision-makingImprove careCare decisionsPreventive careCare managementPrecision healthTertiary careLeveraging patient dataReduce inequalitiesCareMedical CenterInconsistent useSelection biasAI solutionsPatient dataMissing dataDecision-makingDesign imperfections
2023
Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US
Fritsche L, Jin W, Admon A, Mukherjee B. Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US. Journal Of Clinical Medicine 2023, 12: 1328. PMID: 36835863, PMCID: PMC9967320, DOI: 10.3390/jcm12041328.Peer-Reviewed Original ResearchPost-Acute Sequelae of SARS CoV-2 infectionElectronic health record dataPhenotype risk scoreHealth record dataCase-control study designPhenome-wide scanAcademic medical centerRisk prediction modelPost-COVID-19Risk stratification approachStudy designRecord dataRisk scoreHistory of COVID-19Medical CenterCOVID-19Increased riskPre-COVID-19Post-acute sequelaePre-COVID-19 periodRiskPost-COVID-19 periodCohortStratification approachSARS CoV-2 infectionCOVID-19 outcomes by cancer status, site, treatment, and vaccination
Salvatore M, Hu M, Beesley L, Mondul A, Pearce C, Friese C, Fritsche L, Mukherjee B. COVID-19 outcomes by cancer status, site, treatment, and vaccination. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 748-759. PMID: 36626383, DOI: 10.1158/1055-9965.epi-22-0607.Peer-Reviewed Original ResearchConceptsCOVID-19 outcomesCancer statusCancer diagnosisAssociated with higher ratesElectronic health record dataHealth record dataColorectal cancerIncreased riskAcademic medical centerKidney cancerCancer-free patientsIntensive care unit admissionCancer sitesAssociated with lower ratesChemotherapy receiptHigher ratesCOVID-19 precautionsRecord dataCOVID-19Logistic regressionMedical CenterUnit admissionRetrospective cohortVaccination statusLung cancer
2022
Estimating COVID-19 Vaccination and Booster Effectiveness Using Electronic Health Records From an Academic Medical Center in Michigan
Roberts E, Gu T, Wagner A, Mukherjee B, Fritsche L. Estimating COVID-19 Vaccination and Booster Effectiveness Using Electronic Health Records From an Academic Medical Center in Michigan. AJPM Focus 2022, 1: 100015. PMID: 36942016, PMCID: PMC9323299, DOI: 10.1016/j.focus.2022.100015.Peer-Reviewed Original ResearchIntensive care unit admissionElectronic health record dataHealth record dataElectronic health recordsMedical CenterUnit admissionAcademic medical centerOdds of vaccinationHealth recordsSevere COVID-19 outcomesAffluent areasHealthcare workersStudy designRecord dataCalendar quarterCOVID-19COVID-19 outcomesDisease overallUniversity of Michigan Medical CenterObservational studySevere COVID-19SARS-CoV-2 infectionVaccine effectivenessBooster statusOngoing surveillance
2021
A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine
Salvatore M, Gu T, Mack J, Sankar S, Patil S, Valley T, Singh K, Nallamothu B, Kheterpal S, Lisabeth L, Fritsche L, Mukherjee B. A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine. Journal Of Clinical Medicine 2021, 10: 1351. PMID: 33805886, PMCID: PMC8037108, DOI: 10.3390/jcm10071351.Peer-Reviewed Original ResearchPhenome-wide association studyCOVID-19 outcomesIntensive care unitAssociation studiesNon-Hispanic blacksNon-Hispanic whitesAcademic medical centerAssociated with hospitalizationHealthcare deliveryAssociated with mortalityMedicine backgroundPre-existing conditionsMedical phenomeDisease preventionVulnerable populationsPulmonary heart diseaseTargeted screeningMental disordersCOVID-19Associated with intensive care unitMedical CenterRecord DataCare unitGenitourinary conditionsHeart disease