- Citations, last 5 years
- 342
- Works, last 5 years
- 35
- h-index
- 37
- Scientists listed
- 2
- Grants since 2016
- 11
Grants received
2023 · research · R44
A simulation platform to predict dose and therapeutic window of immunocytokines
Raibatak Das · Applied BioMath (United States) · funded by National Institutes of Health
2020–2023 · research · R44
Antibody Drug Conjugate (ADC) Workbench
Alison Mary Betts · Applied BioMath (United States) · funded by National Institutes of Health
2020–2023 · research · R44
Antibody Drug Conjugate (ADC) Workbench
Alison Mary Betts · Applied BioMath (United States) · funded by National Institutes of Health
2020–2023 · research · R44
Antibody Drug Conjugate (ADC) Workbench
Alison Mary Betts · Applied BioMath (United States) · funded by National Institutes of Health
2019–2020 · research · R43
QSPedia: a curated parameter library to enable the rapid development of quantitative systems pharmacology models
James Choate Schaff · Applied BioMath (United States) · funded by U.S. Food and Drug Administration
2017–2018 · research · R44
Development of a robust quantitative systems pharmacology model of amyloid beta and tau pathways for clinical trial design and decision making in Alzheimer’s Disease and Dementia.
Lore Gruenbaum · Applied BioMath (United States) · funded by National Institutes of Health
2017–2020 · research · R44
Development of a robust quantitative systems pharmacology model of amyloid beta and tau pathways for clinical trial design and decision making in Alzheimer’s Disease and Dementia.
Lore Gruenbaum · Applied BioMath (United States) · funded by National Institutes of Health
2017–2021 · research · R44
Development of a robust quantitative systems pharmacology model of amyloid beta and tau pathways for clinical trial design and decision making in Alzheimer’s Disease and Dementia.
Fei Hua · Applied BioMath (United States) · funded by National Institutes of Health
2016–2019 · research · R44
A Quantitative Systems Pharmacology Software Platform for Biologics: reduce costs and accelerate development of innovative biotherapeutics
Joshua Apgar · Applied BioMath (United States) · funded by National Institutes of Health
2016–2018 · research · R44
A Quantitative Systems Pharmacology Software Platform for Biologics: reduce costs and accelerate development of innovative biotherapeutics
Joshua Apgar · Applied BioMath (United States) · funded by National Institutes of Health
2016–2018 · grant · Global Policy and Advocacy
Oath, Inc. - to raise awareness and understanding of neglected diseases through content creation and engagement around immersive and 360 videos
Applied BioMath (United States) · funded by Bill and Melinda Gates Foundation