eMB: Explainable and Physics-Informed Machine Learning for Cell Typing via a Modern Optimi — NSF Award to Purdue University (IN, $
Human-induced pluripotent stem cells (hiPSCs) represent a groundbreaking advancement in stem cell research. Derived from skin or blood cells, hiPSCs are reprogrammed to an embryonic-like state, enabling them to differentiate into any cell type, such as blood, immune, heart, and neuron cells. This Nobel Prize-winning te
| Award title | eMB: Explainable and Physics-Informed Machine Learning for Cell Typing via a Modern Optimi |
|---|---|
| Award ID | 2424004 |
| Awardee | Purdue University |
| City | WEST LAFAYETTE |
| State | IN |
| Amount obligated | $376,162 |
| Principal investigator | Can Li |
| Program | Innovation: Bioinformatics, OFFICE OF MULTIDISCIPLINARY AC, MATHEMATICAL BIOLOGY |
| Start date | 09/01/2024 |
| Abstract | Human-induced pluripotent stem cells (hiPSCs) represent a groundbreaking advancement in stem cell research. Derived from skin or blood cells, hiPSCs are reprogrammed to an embryonic-like state, enabling them to differentiate into any cell type, such as blood, immune, heart, and neuron cells. This Nobel Prize-winning technology circumvents the ethical issues associated with human embryonic stem cells and provides valuable models for studying human development, disease, drug testing, and potential |
| Source | NSF Awards |
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