← Leaderboards
Zeshan M Hussain
Harvard Medical School
$158,420
Attributed
$158,420
Total exposure
1
Grants
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $54K · FY2022–24$100K$75K$50K$25K$0
'22
'23
'24
Funding mix
By agency
NIH$158,420 · 1
By mechanism
F30$158,420 · 1
Top collaborators
No co-investigators on record.
Most similar at Harvard Medical School
Same institution · by research overlap
- Azeddine Atfi$8,523,232
- Joshua Michael Stuart$11,715,611
- Christophe O Benoist$53,813,482
- Allon Moshe Klein$7,807,178
- Kun-Hsing Yu$3,928,845
Others in their field
Other Rising Stars on “Beds”
- Sangeeta Gupta · Delaware State University$7,628,171
- Brian Carroll · North Dakota State University Fargo$4,915,814
- Jenna Mueller · North Dakota State University Fargo$4,915,814
- William D Aderholdt · North Dakota State University Fargo$4,915,814
- Hollie J Mackey · North Dakota State University Fargo$4,915,814
- Ons M'saad · Panluminate Inc.$4,072,756
Research focus
BedsBenchmarkingBiological MarkersCancer BiologyCancer CareCancer CellCancer HeterogeneityCancer PatientCancer SurvivalCancer TherapyCaringCase StudyCause Of DeathCessation Of LifeChronic DiseaseChronic Kidney FailureClinical CareClinical Decision-MakingClinical Decision SupportClinical PredictorsCombination Drug TherapyCombined Modality TherapyCommon TreatmentConfidence Intervals
Grant awards (3)
Machine Learning Methods to Predict Cancer Progression and Estimate Treatment Effectiveness$53,974
F30 · FY2024 · CA · contact PI
Machine Learning Methods to Predict Cancer Progression and Estimate Treatment Effectiveness$52,694
F30 · FY2023 · CA · contact PI
Machine Learning Methods to Predict Cancer Progression and Estimate Treatment Effectiveness$51,752
F30 · FY2022 · CA · contact PI