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Akbar K Waljee
Veterans Health Administration
$3,866,174
Attributed
$8,182,347
Total exposure
6
Grants
3
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 $1.9M · FY2014–25$2M$1.5M$1M$500K$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$8,182,347 · 2
VA$0 · 4
By mechanism
U54$7,432,349 · 1
U01$749,998 · 1
I01$0 · 3
IK2$0 · 1
Top collaborators
- Amina Abubakar Ali8 shared
- Jason Ken Hou7 shared
- Ulysses Gregory John Balis3 shared
- Arvind Rao3 shared
- Mansoor N Saleh3 shared
- Shahin Sayed3 shared
Most similar at Veterans Health Administration
Same institution · by research overlap
- Raymond Harris$35,481,055
- George Wittenberg$2,130,534
- Anant Madabhushi$18,556,814
- Courtney Elaine Stewart$1,415,363
- Garth Strohbehn$0
Others in their field
Top investigators on “Future”
- Mitchell J Malone · Texas A&M Research Foundation$320,373,312
- Gary D Acton · University Of California-Davis$320,373,312
- Gerald T Nepom · Benaroya Research Inst At Virginia Mason$298,740,071
- Eric Jeffrey Topol · Cleveland Clinic Lerner Col/Med-Cwru$274,284,003
- Chanza Baytop · Westat, Inc.$271,217,917
- Everette D Joseph · Howard University$246,289,043
Research focus
FutureResourcesCostBiologicalGuidelinesProgramsPoliciesCaringArtificial IntelligenceMachine LearningInnovationPredictive ModelingMachine Learning MethodData SetHealth SystemAfricaHealthcarePharmaceutical PreparationsData ScienceEventCommunitiesFundingClinically RelevantMichigan
Grant awards (23)
UZIMA-DS: UtiliZing health Information for Meaningful Impact in East Africa through Data Science$1,641,317
U54 · FY2025 · TW
Leveraging artificial intelligence/machine learning-based technology to overcome specialized training and technology barriers for the diagnosis and prognostication of colorectal cancer in Africa$249,999
U01 · FY2025 · CA
A learning health system approach to using Artificial Intelligence Enabled Decision Support (AEDS) for medication optimization in Veteran Care: An Immunosuppressants use case$0
I01 · FY2025 · VA · contact PI
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science$1,299,926
U54 · FY2024 · TW
Enhancing research administration capacity within the DS-I Africa Consortium: An initiative with The Aga Khan University and the University of Michigan$266,000
U54 · FY2024 · TW
Leveraging artificial intelligence/machine learning-based technology to overcome specialized training and technology barriers for the diagnosis and prognostication of colorectal cancer in Africa$249,999
U01 · FY2024 · CA
Sustainable Cloud Operations for Research and Environmental Impact (SCORE - EI)$80,992
U54 · FY2024 · TW
Effectivenes, Safety, and Patient Preferences of Infliximab Biosimilar Medications for Inflammatory Bowel Disease$0
I01 · FY2024 · VA
A learning health system approach to using Artificial Intelligence Enabled Decision Support (AEDS) for medication optimization in Veteran Care: An Immunosuppressants use case$0
I01 · FY2024 · VA · contact PI
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science$1,299,972
U54 · FY2023 · TW
Improving AI/ML-readiness of Synthetic Data in a Resource-Constrained Setting$254,400
U54 · FY2023 · TW
Leveraging artificial intelligence/machine learning-based technology to overcome specialized training and technology barriers for the diagnosis and prognostication of colorectal cancer in Africa$250,000
U01 · FY2023 · CA
Effectivenes, Safety, and Patient Preferences of Infliximab Biosimilar Medications for Inflammatory Bowel Disease$0
I01 · FY2023 · VA
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science$1,289,993
U54 · FY2022 · TW
Effectivenes, Safety, and Patient Preferences of Infliximab Biosimilar Medications for Inflammatory Bowel Disease$0
I01 · FY2022 · VA
UZIMA-DS: UtiliZing health Information for Meaningful impact in East Africa through Data Science$1,299,749
U54 · FY2021 · TW
Effectivenes, Safety, and Patient Preferences of Infliximab Biosimilar Medications for Inflammatory Bowel Disease$0
I01 · FY2021 · VA
Advanced Prediction Models to Optimize Treatment and Access for Veterans with Hepatitis C$0
I01 · FY2021 · VA · contact PI
Effectivenes, Safety, and Patient Preferences of Infliximab Biosimilar Medications for Inflammatory Bowel Disease$0
I01 · FY2020 · VA
Advanced Prediction Models to Optimize Treatment and Access for Veterans with Hepatitis C$0
I01 · FY2020 · VA · contact PI
Advanced Prediction Models to Optimize Treatment and Access for Veterans with Hepatitis C$0
I01 · FY2018 · VA · contact PI
Advanced Prediction Models to Optimize Treatment and Access for Veterans with Hepatitis C$0
I01 · FY2018 · VA · contact PI
Risk Stratification and Targeted Therapy for HELP Diseases in Veterans$0
IK2 · FY2014 · VA · contact PI