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Farren B. S. Briggs
Case Western Reserve University
$1,458,765
Attributed
$1,656,933
Total exposure
2
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 $744.7K · FY2021–23$1M$750K$500K$250K$0
'21
'22
'23
Funding mix
By agency
NIH$1,656,933 · 2
By mechanism
R01$1,359,681 · 1
R56$297,252 · 1
Top collaborators
- Alessandro Stevens De Nadai2 shared
- Douglas D Gunzler2 shared
Most similar at Case Western Reserve University
Same institution · by research overlap
- Paul Joseph Tesar$9,717,238
- Shanina C Knighton$2,370,083
- Alan J Lerner$3,736,264
- Douglas D Gunzler$1,141,706
- Sanford D Markowitz$49,710,196
Others in their field
Other Emerging Leaders on “Treatment Outcome”
- Sonia M Thomas · Research Triangle Institute$701,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$146,927,997
- Beth Baseler · Leidos Biomedical Research, Inc.$73,306,144
- Susan Abushakra · Alzheon, Inc.$47,265,244
Research focus
Treatment OutcomeMultiple SclerosisTraitPatternComplementGuidelinesResourcesPersonsDisabilityClinicDiagnosticMultiple Sclerosis TreatmentAutoimmune DiseasesBiological ProcessDiagnostic SpecificityBiological MarkersBiologicalAntigen PresentationDiagnostic SensitivityClassificationBiochemicalBindingChronicAntibodies
Grant awards (6)
Characterizing the serum metabolome in multiple sclerosis$230,826
R01 · FY2023 · NS · contact PI
Characterizing the serum metabolome in multiple sclerosis$6,153
R01 · FY2023 · NS · contact PI
Characterizing the serum metabolome in multiple sclerosis$603,729
R01 · FY2022 · NS · contact PI
Elucidating symptoms clusters in multiple sclerosis using patient reported outcomes and unsupervised machine learning$141,001
R56 · FY2022 · NR · contact PI
Characterizing the serum metabolome in multiple sclerosis$518,973
R01 · FY2021 · NS · contact PI
Elucidating symptoms clusters in multiple sclerosis using patient reported outcomes and unsupervised machine learning$156,251
R56 · FY2021 · NR · contact PI