← Leaderboards
Michael William Sjoding
University Of Michigan At Ann Arbor
$3,582,183
Attributed
$7,031,893
Total exposure
4
Grants
2
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $1.8M · FY2017–25$2M$1.5M$1M$500K$0
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$7,031,893 · 4
By mechanism
R01$6,169,891 · 3
K01$862,002 · 1
Top collaborators
- Jenna Wiens9 shared
- Xudong Fan2 shared
- Kevin Ward2 shared
Most similar at University Of Michigan At Ann Arbor
Same institution · by research overlap
- Laurence H Baker$13,775,401
- Jenna Wiens$3,682,281
- Toby Citrin$4,556,878
- Xudong Fan$6,206,272
- Elizabeth Marie Viglianti$1,163,134
Others in their field
Other Emerging Leaders on “Prospective”
- Peter W Pisters · University Of Tx Md Anderson Can Ctr$56,084,949
- Michael Dignam · National Institute Of Allergy And Infectious Diseases$31,845,607
- Stephen F Kry · University Of Tx Md Anderson Can Ctr$28,689,457
- Ellen Gould Chadwick · Harvard University D/B/A Harvard School Of Public Health$25,473,113
- Olwen Hahn · Brigham And Women'S Hospital$23,582,395
- Julie Ake · National Institute Of Allergy And Infectious Diseases$22,000,000
Research focus
ProspectiveMachine LearningDiagnosisPhysiciansPerformanceElectronic Health RecordTrainingEnsureAcutePositioning AttributeDecision MakingBasePatient-Focused OutcomesComplexMortalityAlgorithmsEvaluationCaringEnvironmentHealthcareLaboratoriesClinical Decision SupportCongestive Heart FailureHospitalization
Grant awards (16)
Point-of-care micro-gas chromatography device for diagnosis and monitoring of acute respiratory distress syndrome using exhaled breath signatures$1,069,786
R01 · FY2025 · HL
Point-of-care micro-gas chromatography device for diagnosis and monitoring of acute respiratory distress syndrome using exhaled breath signatures$1,118,804
R01 · FY2024 · HL
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$665,592
R01 · FY2024 · HL · contact PI
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$675,275
R01 · FY2023 · HL · contact PI
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$699,054
R01 · FY2022 · HL · contact PI
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$301,485
R01 · FY2022 · HL · contact PI
SCH: Leveraging Clinical Time Series to Learn Optimal Treatment of Acute Dyspnea$228,618
R01 · FY2022 · LM
Human-AI Collaborations to Improve Accuracy and Mitigate Bias in Acute Dyspnea Diagnosis$705,334
R01 · FY2021 · HL · contact PI
SCH: Leveraging Clinical Time Series to Learn Optimal Treatment of Acute Dyspnea$232,216
R01 · FY2021 · LM
Data-Driven Identification of the Acute Respiratory Distress Syndrome$172,704
K01 · FY2021 · HL · contact PI
SCH: Leveraging Clinical Time Series to Learn Optimal Treatment of Acute Dyspnea$235,205
R01 · FY2020 · LM
Data-Driven Identification of the Acute Respiratory Distress Syndrome$172,680
K01 · FY2020 · HL · contact PI
SCH: Leveraging Clinical Time Series to Learn Optimal Treatment of Acute Dyspnea$238,522
R01 · FY2019 · LM
Data-Driven Identification of the Acute Respiratory Distress Syndrome$172,087
K01 · FY2019 · HL · contact PI
Data-Driven Identification of the Acute Respiratory Distress Syndrome$172,087
K01 · FY2018 · HL · contact PI
Data-Driven Identification of the Acute Respiratory Distress Syndrome$172,444
K01 · FY2017 · HL · contact PI